default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDusan Jakovetic
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j37]Stevo Rackovic
, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica:
A majorization-minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation. Optim. Lett. 18(2): 545-559 (2024)- [j36]Greta Malaspina, Dusan Jakovetic, Natasa Krejic:
Linear convergence rate analysis of a class of exact first-order distributed methods for weight-balanced time-varying networks and uncoordinated step sizes. Optim. Lett. 18(3): 825-846 (2024) - [j35]Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Nonlinear Consensus+Innovations under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics. SIAM J. Control. Optim. 62(1): 376-399 (2024) - [j34]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. IEEE Trans. Signal Process. 72: 636-651 (2024) - [c37]Stevo Rackovic, Dusan Jakovetic, Cláudia Soares:
Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. SIGGRAPH Asia 2024: 45:1-45:9 - [i44]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic:
Refined Inverse Rigging: A Balanced Approach to High-fidelity Blendshape Animation. CoRR abs/2401.16496 (2024) - [i43]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
A Unified Framework for Gradient-based Clustering of Distributed Data. CoRR abs/2402.01302 (2024) - [i42]Aleksandar Armacki, Shuhua Yu, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guarantees. CoRR abs/2410.13954 (2024) - [i41]Aleksandar Armacki, Shuhua Yu, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry. CoRR abs/2410.15637 (2024) - 2023
- [j33]Milos Savic, Vladimir Kurbalija, Mihailo Ilic, Mirjana Ivanovic, Dusan Jakovetic, Antonios Valachis, Serge Autexier, Johannes Rust, Thanos Kosmidis:
The application of machine learning techniques in prediction of quality of life features for cancer patients. Comput. Sci. Inf. Syst. 20(1): 381-404 (2023) - [j32]Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
EFIX: Exact fixed point methods for distributed optimization. J. Glob. Optim. 85(3): 637-661 (2023) - [j31]Dusan Jakovetic, Manojlo Vukovic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar:
Distributed Recursive Estimation under Heavy-Tail Communication Noise. SIAM J. Control. Optim. 61(3): 1582-1609 (2023) - [j30]Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic:
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM J. Optim. 33(2): 394-423 (2023) - [j29]Nemanja Petrovic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Anit Kumar Sahu:
Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference. IEEE Trans. Signal Process. 71: 1319-1333 (2023) - [c36]Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large deviations rates for stochastic gradient descent with strongly convex functions. AISTATS 2023: 10095-10111 - [c35]Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, Thomas Festi:
Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. EUSIPCO 2023: 875-879 - [c34]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic:
Distributed Solution of the Blendshape Rig Inversion Problem. SIGGRAPH Asia Technical Communications 2023: 24:1-24:4 - [i40]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica:
High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model. CoRR abs/2302.04820 (2023) - [i39]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica:
Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms. CoRR abs/2302.04843 (2023) - [i38]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic:
Distributed Solution of the Inverse Rig Problem in Blendshape Facial Animation. CoRR abs/2303.06370 (2023) - [i37]Shuhua Yu, Dusan Jakovetic, Soummya Kar:
Smoothed Gradient Clipping and Error Feedback for Distributed Optimization under Heavy-Tailed Noise. CoRR abs/2310.16920 (2023) - [i36]Aleksandar Armacki, Pranay Sharma, Gauri Joshi, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise. CoRR abs/2310.18784 (2023) - 2022
- [j28]George Bravos, Antonio J. Cabrera, Camilo Correa, Dragan Danilovic, Nikolaos Evangeliou, Gilad Ezov, Zoran Gajica, Dusan Jakovetic, Leonidas Kallipolitis, Milan Lukic, Julien-Etienne Mascolo, Davide Masera, Raúl Mazo, Ivan Mezei, Andreas I. Miaoudakis, Nemanja Milosevic, William Oliff, Jacques Robin, Michail Smyrlis, Georgia Sakellari, Giorgos Stamatis, Dusan Stamenkovic, Srdan Skrbic, Carine Souveyet, Spyridon Vantolas, Giorgos Vasiliadis, Dejan Vukobratovic:
Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. IEEE Access 10: 124747-124765 (2022) - [j27]Lidija Fodor, Dusan Jakovetic, Danijela Boberic Krsticev, Srdan Skrbic:
A parallel ADMM-based convex clustering method. EURASIP J. Adv. Signal Process. 2022(1): 108 (2022) - [j26]Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic:
Tax evasion risk management using a Hybrid Unsupervised Outlier Detection method. Expert Syst. Appl. 193: 116409 (2022) - [j25]Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
A Hessian Inversion-Free Exact Second Order Method for Distributed Consensus Optimization. IEEE Trans. Signal Inf. Process. over Networks 8: 755-770 (2022) - [c33]Dejan Vukobratovic, Milan Lukic, Ivan Mezei, Dragana Bajovic, Dragan Danilovic, Milos Savic, Zarko Bodroski, Srdjan Skrbic, Dusan Jakovetic:
Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration. EUSIPCO 2022: 707-711 - [c32]Nemanja Milosevic, Dusan Jakovetic, Srdjan Skrbic, Milos Savic, Dusan Stamenkovic, Julien-Etienne Mascolo, Davide Masera:
BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. EUSIPCO 2022: 1097-1101 - [c31]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Gradient Based Clustering. ICML 2022: 929-947 - [c30]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Personalized Federated Learning via Convex Clustering. ISC2 2022: 1-7 - [p2]Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Lidija Fodor, Spiros Fotis, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Mario Maawad Marcos, Ramon Martín de Pozuelo, Miquel Martínez, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov:
Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case. Technologies and Applications for Big Data Value 2022: 273-297 - [p1]Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Spiros Fotis, Gianmarco Genchi, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Miquel Martínez, Julien-Etienne Mascolo, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giuseppe Danilo Spennacchio, Dusan Stamenkovic, Giorgos Vasiliadis, Michael Vinov:
Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case. Technologies and Applications for Big Data Value 2022: 321-344 - [i35]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Personalized Federated Learning via Convex Clustering. CoRR abs/2202.00718 (2022) - [i34]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Gradient Based Clustering. CoRR abs/2202.00720 (2022) - [i33]Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic:
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise. CoRR abs/2204.02593 (2022) - [i32]Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
A Hessian inversion-free exact second order method for distributed consensus optimization. CoRR abs/2204.02690 (2022) - [i31]Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments. CoRR abs/2209.10866 (2022) - [i30]Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Large deviations rates for stochastic gradient descent with strongly convex functions. CoRR abs/2211.00969 (2022) - [i29]Manojlo Vukovic, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics. CoRR abs/2212.11959 (2022) - 2021
- [j24]Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic:
Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics. IEEE Access 9: 59406-59419 (2021) - [j23]Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti:
Distributed fixed point method for solving systems of linear algebraic equations. Autom. 134: 109924 (2021) - [j22]Lidija Fodor, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Srdan Skrbic:
Performance evaluation and analysis of distributed multi-agent optimization algorithms with sparsified directed communication. EURASIP J. Adv. Signal Process. 2021(1): 25 (2021) - [c29]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic:
Clustering of the Blendshape Facial Model. EUSIPCO 2021: 1556-1560 - [c28]Milos Savic, Vladimir Kurbalija, Mihailo Ilic, Mirjana Ivanovic, Dusan Jakovetic, Antonios Valachis, Serge Autexier, Johannes Rust, Thanos Kosmidis:
Analysis of Machine Learning Models Predicting Quality of Life for Cancer Patients. MEDES 2021: 35-42 - [i28]Milos Savic, Milan Lukic, Dragan Danilovic, Zarko Bodroski, Dragana Bajovic, Ivan Mezei, Dejan Vukobratovic, Srdjan Skrbic, Dusan Jakovetic:
Deep Learning Anomaly Detection for Cellular IoT with Applications in Smart Logistics. CoRR abs/2102.08936 (2021) - [i27]Milos Savic, Jasna Atanasijevic, Dusan Jakovetic, Natasa Krejic:
Tax Evasion Risk Management Using a Hybrid Unsupervised Outlier Detection Method. CoRR abs/2103.01033 (2021) - [i26]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica:
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach. CoRR abs/2109.08356 (2021) - [i25]Stevo Rackovic, Cláudia Soares, Dusan Jakovetic, Zoranka Desnica, Relja Ljubobratovic:
Clustering of the Blendshape Facial Model. CoRR abs/2110.15313 (2021) - 2020
- [j21]Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura:
Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics. Proc. IEEE 108(11): 1923-1938 (2020) - [j20]Marko Panic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic, Aleksandra Pizurica:
MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior. Sensors 20(11): 3185 (2020) - [j19]Natasa Krklec Jerinkic, Dusan Jakovetic, Natasa Krejic, Dragana Bajovic:
Distributed Second-Order Methods With Increasing Number of Working Nodes. IEEE Trans. Autom. Control. 65(2): 846-853 (2020) - [i24]Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic, Greta Malaspina, Alessandra Micheletti:
Distributed Fixed Point Method for Solving Systems of Linear Algebraic Equations. CoRR abs/2001.03968 (2020)
2010 – 2019
- 2019
- [j18]Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
Exact spectral-like gradient method for distributed optimization. Comput. Optim. Appl. 74(3): 703-728 (2019) - [j17]Ran Xin, Dusan Jakovetic, Usman A. Khan:
Distributed Nesterov Gradient Methods Over Arbitrary Graphs. IEEE Signal Process. Lett. 26(8): 1247-1251 (2019) - [j16]Kanghang He, Dusan Jakovetic, Bochao Zhao, Vladimir Stankovic, Lina Stankovic, Samuel Cheng:
A Generic Optimisation-Based Approach for Improving Non-Intrusive Load Monitoring. IEEE Trans. Smart Grid 10(6): 6472-6480 (2019) - [j15]Dusan Jakovetic:
A Unification and Generalization of Exact Distributed First-Order Methods. IEEE Trans. Signal Inf. Process. over Networks 5(1): 31-46 (2019) - [c27]Aleksandar Armacki, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
Distributed Trust-Region Method With First Order Models. EUROCON 2019: 1-6 - [c26]Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
Spectral-like gradient method for distributed optimization. EUROCON 2019: 1-5 - [c25]Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Communication Efficient Distributed Estimation Over Directed Random Graphs. EUROCON 2019: 1-5 - [c24]Ioannis Arapakis, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Julien-Etienne Mascolo, Lidija Fodor, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Evangelia Kavakli, Despina Kopanaki, Nicolas Kourtellis, Mario Maawad Marcos, Ramon Martín de Pozuelo, Nemanja Milosevic, Giuditta Morandi, Enric Pages i Montanera, Gerald H. Ristow, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov:
Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. SERVICES 2019: 394-395 - [i23]Ran Xin, Dusan Jakovetic, Usman A. Khan:
Distributed Nesterov gradient methods over arbitrary graphs. CoRR abs/1901.06995 (2019) - [i22]Dusan Jakovetic, Dragana Bajovic, João Xavier, José M. F. Moura:
Primal-dual optimization methods for large-scale and distributed data analytics. CoRR abs/1912.08546 (2019) - 2018
- [j14]Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Communication efficient distributed weighted non-linear least squares estimation. EURASIP J. Adv. Signal Process. 2018: 66 (2018) - [j13]Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar:
CIRFE: A Distributed Random Fields Estimator. IEEE Trans. Signal Process. 66(18): 4980-4995 (2018) - [c23]Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar:
Convergence Rates for Distributed Stochastic Optimization Over Random Networks. CDC 2018: 4238-4245 - [c22]Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Distributed Zeroth Order Optimization Over Random Networks: A Kiefer-Wolfowitz Stochastic Approximation Approach. CDC 2018: 4951-4958 - [c21]Giorgos Vasiliadis, Dusan Jakovetic, Ilias Spais, Sotiris Ioannidis:
I-BiDaaS: Industrial-Driven Big Data as a Self-service Solution. ESOCC Workshops 2018: 192-196 - [c20]Anit Kumar Sahu, Dusan Jakovetic, Dragana Bajovic, Soummya Kar:
Non-Asymptotic Rates for Communication Efficient Distributed Zeroth Order Strongly Convex Optimization. GlobalSIP 2018: 628-632 - [c19]Kelvin O. O. Anoh, Dragana Bajovic, Dejan Vukobratovic, Bamidele Adebisi, Dusan Jakovetic, Mirsad Cosovic:
Distributed Energy Trading with Communication Constraints. ISGT Europe 2018: 1-6 - [c18]Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar:
CREDO: A Communication-Efficient Distributed Estimation Algorithm. ISIT 2018: 516-520 - [c17]Dragana Bajovic, Dusan Jakovetic, Anit Kumar Sahu, Soummya Kar:
Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection. ISIT 2018: 1061-1065 - [i21]Anit Kumar Sahu, Dusan Jakovetic, Soummya Kar:
CIRFE: A Distributed Random Fields Estimator. CoRR abs/1802.04943 (2018) - 2017
- [j12]Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
Newton-like Method with Diagonal Correction for Distributed Optimization. SIAM J. Optim. 27(2): 1171-1203 (2017) - [c16]Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic:
Cooperative Slotted ALOHA for massive M2M random access using directional antennas. ICC Workshops 2017: 731-736 - [i20]Aleksandar Mastilovic, Dejan Vukobratovic, Dusan Jakovetic, Dragana Bajovic:
Cooperative Slotted ALOHA for Massive M2M Random Access Using Directional Antennas. CoRR abs/1706.09817 (2017) - [i19]Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
Distributed second order methods with variable number of working nodes. CoRR abs/1709.01307 (2017) - [i18]Dusan Jakovetic:
A Unification, Generalization, and Acceleration of Exact Distributed First Order Methods. CoRR abs/1709.01317 (2017) - 2016
- [j11]Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Günes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer:
CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. IEEE Access 4: 3360-3378 (2016) - [j10]Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic:
Distributed Gradient Methods with Variable Number of Working Nodes. IEEE Trans. Signal Process. 64(15): 4080-4095 (2016) - [c15]Dusan Jakovetic, Natasa Krklec Jerinkic, Natasa Krejic, Dragana Bajovic:
Distributed first and second order methods with increasing number of working nodes. GlobalSIP 2016: 480-484 - [c14]Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic:
Network function computation as a service in future 5G machine type communications. ISTC 2016: 365-369 - [i17]Dejan Vukobratovic, Dusan Jakovetic, Vitaly Skachek, Dragana Bajovic, Dino Sejdinovic, Gunes Karabulut-Kurt, Camilla Hollanti, Ingo Fischer:
CONDENSE: A Reconfigurable Knowledge Acquisition Architecture for Future 5G IoT. CoRR abs/1609.03363 (2016) - 2015
- [j9]Dusan Jakovetic, José M. F. Moura, João Xavier:
Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms. IEEE Trans. Autom. Control. 60(4): 922-936 (2015) - [j8]Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic:
Cooperative Slotted Aloha for Multi-Base Station Systems. IEEE Trans. Commun. 63(4): 1443-1456 (2015) - [c13]Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic:
Distributed estimation of sparse user activity for multi-base station on-off random access. ICC Workshops 2015: 2080-2085 - [c12]Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic:
Distributed storage allocations for neighborhood-based data access. ITW 2015: 1-5 - [i16]Dusan Jakovetic, Dragana Bajovic, Natasa Krejic, Natasa Krklec Jerinkic:
Distributed Gradient Methods with Variable Number of Working Nodes. CoRR abs/1504.04049 (2015) - [i15]Dragana Bajovic, Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
Newton-like method with diagonal correction for distributed optimization. CoRR abs/1509.01703 (2015) - 2014
- [j7]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Fast Distributed Gradient Methods. IEEE Trans. Autom. Control. 59(5): 1131-1146 (2014) - [j6]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Convergence Rates of Distributed Nesterov-Like Gradient Methods on Random Networks. IEEE Trans. Signal Process. 62(4): 868-882 (2014) - [c11]Dusan Jakovetic, João Xavier, José M. F. Moura:
Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates. ICASSP 2014: 1508-1511 - [c10]Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic:
Slotted Aloha for networked base stations. ICC Workshops 2014: 520-526 - [c9]Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic:
Slotted Aloha for networked base stations with spatial and temporal diversity. ISIT 2014: 1578-1582 - [i14]Dragana Bajovic, Dusan Jakovetic, Dejan Vukobratovic, Vladimir S. Crnojevic:
Slotted Aloha for Networked Base Stations. CoRR abs/1401.6799 (2014) - [i13]Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic:
Slotted Aloha for Networked Base Stations with Spatial and Temporal Diversity. CoRR abs/1401.6810 (2014) - [i12]Dusan Jakovetic, Dragana Bajovic, Dejan Vukobratovic, Vladimir S. Crnojevic:
Cooperative Slotted Aloha for Multi-Base Station Systems. CoRR abs/1407.1109 (2014) - [i11]Dusan Jakovetic, Aleksandar Minja, Dragana Bajovic, Dejan Vukobratovic:
Distributed Storage Allocations for Neighborhood-based Data Access. CoRR abs/1411.2746 (2014) - 2013
- [c8]Dusan Jakovetic, José M. F. Moura, João M. F. Xavier:
Distributed augmented Lagrangian algorithms: Convergence rate. GlobalSIP 2013: 563-566 - [i10]Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier:
Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms. CoRR abs/1307.2482 (2013) - [i9]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Convergence Rates of Distributed Nesterov-like Gradient Methods on Random Networks. CoRR abs/1308.0916 (2013) - 2012
- [j5]Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier:
Distributed Detection Over Noisy Networks: Large Deviations Analysis. IEEE Trans. Signal Process. 60(8): 4306-4320 (2012) - [j4]Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli:
Large Deviations Performance of Consensus+Innovations Distributed Detection With Non-Gaussian Observations. IEEE Trans. Signal Process. 60(11): 5987-6002 (2012) - [c7]Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier:
Fast cooperative distributed learning. ACSCC 2012: 1513-1517 - [c6]Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier:
Consensus+innovations detection: Phase transition under communication noise. Allerton Conference 2012: 1559-1563 - [c5]Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier:
Distributed Nesterov-like gradient algorithms. CDC 2012: 5459-5464 - 2011
- [j3]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms With Directed Gossip Communication. IEEE Trans. Signal Process. 59(8): 3889-3902 (2011) - [j2]Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura:
Distributed Detection via Gaussian Running Consensus: Large Deviations Asymptotic Analysis. IEEE Trans. Signal Process. 59(9): 4381-4396 (2011) - [c4]Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli:
Large deviations analysis of consensus+innovations detection in random networks. Allerton 2011: 151-155 - [c3]Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura:
Asymptotic performance of distributed detection over random networks. ICASSP 2011: 3008-3011 - [i8]Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier:
Distributed Detection over Noisy Networks: Large Deviations Analysis. CoRR abs/1108.1410 (2011) - [i7]Dragana Bajovic, Dusan Jakovetic, José M. F. Moura, João Manuel Freitas Xavier, Bruno Sinopoli:
Large Deviations Performance of Consensus+Innovations Distributed Detection with Non-Gaussian Observations. CoRR abs/1111.4555 (2011) - [i6]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Fast Distributed Gradient Methods. CoRR abs/1112.2972 (2011) - 2010
- [j1]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Weight optimization for consensus algorithms with correlated switching topology. IEEE Trans. Signal Process. 58(7): 3788-3801 (2010) - [c2]Dragana Bajovic, Dusan Jakovetic, João Xavier, Bruno Sinopoli, José M. F. Moura:
Distributed detection over time varying networks: Large deviations analysis. Allerton 2010: 302-309 - [c1]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Consensus in correlated random topologies: Weights for finite time horizon. ICASSP 2010: 2974-2977 - [i5]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms with Directed Gossip Communication. CoRR abs/1007.3706 (2010) - [i4]Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura:
Distributed Detection over Time Varying Networks: Large Deviations Analysis. CoRR abs/1010.5163 (2010) - [i3]Dragana Bajovic, Dusan Jakovetic, João Manuel Freitas Xavier, Bruno Sinopoli, José M. F. Moura:
Distributed Detection over Random Networks: Large Deviations Performance Analysis. CoRR abs/1012.4668 (2010)
2000 – 2009
- 2009
- [i2]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Weight Optimization for Consensus Algorithms with Correlated Switching Topology. CoRR abs/0906.3736 (2009) - [i1]Dusan Jakovetic, João Manuel Freitas Xavier, José M. F. Moura:
Consensus in Correlated Random Topologies: Weights for Finite Time Horizon. CoRR abs/0909.4807 (2009)
Coauthor Index
[j35] [j34] [i43] [i42] [i41] [j31] [j30] [j29] [c36] [c35] [i36] [c33] [c31] [c30] [i35] [i34] [i33] [i31] [i30] [i29] [j24] [i28] [j21] [j19] [c25] [i22] [j14] [c23] [c22] [c20] [c19] [c17] [j12] [c16] [i20] [i19] [j11] [j10] [c15] [c14] [i17] [j8] [c13] [c12] [i16] [i15] [c10] [c9] [i14] [i13] [i12] [i11] [j4] [j2] [c4] [c3] [i7] [c2] [i4] [i3]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-21 00:08 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
