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ORCIDRavikumar Balakrishnan
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2020 – today
- 2024
[i6]Ravikumar Balakrishnan, Marius Arvinte, Nageen Himayat, Hosein Nikopour, Hassnaa Moustafa:
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management. CoRR abs/2405.03891 (2024)- [i5]Shenghong Dai, Jy-yong Sohn, Yicong Chen, S. M. Iftekharul Alam, Ravikumar Balakrishnan, Suman Banerjee, Nageen Himayat, Kangwook Lee:
Buffer-based Gradient Projection for Continual Federated Learning. CoRR abs/2409.01585 (2024) - 2023
- [j9]Taojiannan Yang
, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen:
MutualNet: Adaptive ConvNet via Mutual Learning From Different Model Configurations. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 811-827 (2023) - [c9]Shenghong Dai, S. M. Iftekharul Alam, Ravikumar Balakrishnan, Kangwook Lee, Suman Banerjee, Nageen Himayat:
Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World. CCNC 2023: 919-920 - [c8]Aleksei A. Ponomarenko-Timofeev, Olga Galinina, Ravikumar Balakrishnan, Nageen Himayat, Sergey Andreev, Yevgeni Koucheryavy:
Leveraging Compute Heterogeneity in Federated Multi-Task Classification. ICUMT 2023: 68-72 - [i4]Aleksei A. Ponomarenko-Timofeev, Olga Galinina, Ravikumar Balakrishnan, Nageen Himayat, Sergey Andreev, Yevgeni Koucheryavy:
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks. CoRR abs/2303.10254 (2023) - 2022
- [j8]Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang:
EdgeML: Towards network-accelerated federated learning over wireless edge. Comput. Networks 219: 109396 (2022) - [j7]Rita H. Wouhaybi, Ravikumar Balakrishnan, Navid Naderializadeh, Ahmad Beirami, Marco Di Felice, Shadi A. Noghabi, Anirudh Badam, Shugong Xu:
Guest Editorial: An End-to-End Machine Learning Perspective on Industrial IoT. IEEE Internet Things Mag. 5(1): 22-23 (2022) - [c7]Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff A. Bilmes:
Diverse Client Selection for Federated Learning via Submodular Maximization. ICLR 2022 - 2021
- [j6]Ravikumar Balakrishnan, Mustafa Riza Akdeniz, Sagar Dhakal, Arjun Anand, Ariela Zeira, Nageen Himayat:
Resource Management and Model Personalization for Federated Learning over Wireless Edge Networks. J. Sens. Actuator Networks 10(1): 17 (2021) - [c6]Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang:
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing. SEC 2021: 355-360 - [i3]Taojiannan Yang, Sijie Zhu, Matías Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen:
MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations. CoRR abs/2105.07085 (2021) - [i2]Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang:
Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing. CoRR abs/2110.08952 (2021) - [i1]Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang:
EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge. CoRR abs/2111.09410 (2021) - 2020
- [c5]Arjun Anand, Ravikumar Balakrishnan, V. Srinivasa Somayazulu, Rath Vannithamby:
Model-Assisted Deep Reinforcement Learning for Dynamic Wireless Scheduling. ACSSC 2020: 1200-1203 - [c4]Ravikumar Balakrishnan, Mustafa Riza Akdeniz, Sagar Dhakal, Nageen Himayat:
Resource Management and Fairness for Federated Learning over Wireless Edge Networks. SPAWC 2020: 1-5
2010 – 2019
- 2019
- [c3]Ravikumar Balakrishnan, Kunal Sankhe, V. Srinivasa Somayazulu, Rath Vannithamby, Jerry Sydir:
Deep Reinforcement Learning Based Traffic- and Channel-Aware OFDMA Resource Allocation. GLOBECOM 2019: 1-6 - 2016
- [j5]Ravikumar Balakrishnan, Ian F. Akyildiz:
Local Anchor Schemes for Seamless and Low-Cost Handover in Coordinated Small Cells. IEEE Trans. Mob. Comput. 15(5): 1182-1196 (2016) - 2014
- [j4]Ian F. Akyildiz, David Manuel Gutiérrez Estévez, Ravikumar Balakrishnan, Elias Chavarria Reyes:
LTE-Advanced and the evolution to Beyond 4G (B4G) systems. Phys. Commun. 10: 31-60 (2014) - [j3]Ravikumar Balakrishnan, Berk Canberk:
Traffic-Aware QoS Provisioning and Admission Control in OFDMA Hybrid Small Cells. IEEE Trans. Veh. Technol. 63(2): 802-810 (2014) - 2013
- [j2]Ian F. Akyildiz, Elias Chavarria Reyes, David Manuel Gutiérrez Estévez, Ravikumar Balakrishnan, John R. Krier:
Enabling next generation small cells through femtorelays. Phys. Commun. 9: 1-15 (2013) - [c2]Ravikumar Balakrishnan, Berk Canberk, Ian F. Akyildiz:
Traffic-aware utility based QoS provisioning in OFDMA hybrid smallcells. ICC 2013: 6464-6468 - 2011
- [j1]Ian F. Akyildiz, Brandon F. Lo, Ravikumar Balakrishnan:
Cooperative spectrum sensing in cognitive radio networks: A survey. Phys. Commun. 4(1): 40-62 (2011) - [c1]Ravikumar Balakrishnan, Xiangying Yang, Muthaiah Venkatachalam, Ian F. Akyildiz:
Mobile relay and group mobility for 4G WiMAX networks. WCNC 2011: 1224-1229
Coauthor Index
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