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ORCIDHossein Moradian
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2020 – today
- 2024
[c8]Mohammadreza Rostami, Hossein Moradian, Solmaz S. Kia:
First-Order Dynamic Optimization for Streaming Convex Costs. ACC 2024: 2194-2199- 2023
- [j8]Hossein Moradian
, Solmaz S. Kia:
A Study on Accelerating Average Consensus Algorithms Using Delayed Feedback. IEEE Trans. Control. Netw. Syst. 10(1): 157-168 (2023) - [i7]M. Rostami, Hossein Moradian, Solmaz S. Kia:
First-Order Dynamic Optimization for Streaming Convex Costs. CoRR abs/2310.07925 (2023) - 2022
- [j7]Hossein Moradian, Solmaz S. Kia:
A distributed continuous-time modified Newton-Raphson algorithm. Autom. 136: 109886 (2022) - [i6]Amir-Salar Esteki, Hossein Moradian, Solmaz S. Kia:
The fastest linearly converging discrete-time average consensus using buffered information. CoRR abs/2206.09916 (2022) - [i5]Amir-Salar Esteki, Hossein Moradian, Solmaz S. Kia:
Fast model averaging via buffered states and first-order accelerated optimization algorithms. CoRR abs/2211.05959 (2022) - 2021
- [b1]Hossein Moradian:
Optimization Algorithms over Distributed Systems. University of California, Irvine, USA, 2021 - [j6]Hossein Moradian, Solmaz S. Kia:
Cluster-based distributed augmented Lagrangian algorithm for a class of constrained convex optimization problems. Autom. 129: 109608 (2021) - 2020
- [j5]Hossein Moradian, Solmaz S. Kia:
On the Positive Effect of Delay on the Rate of Convergence of a Class of Linear Time-Delayed Systems. IEEE Trans. Autom. Control. 65(11): 4832-4839 (2020)
2010 – 2019
- 2019
- [j4]Hossein Moradian, Solmaz S. Kia:
On Robustness Analysis of a Dynamic Average Consensus Algorithm to Communication Delay. IEEE Trans. Control. Netw. Syst. 6(2): 633-641 (2019) - [c7]Hossein Moradian, Solmaz S. Kia:
Accelerated Average Consensus Algorithm Using Outdated Feedback. ECC 2019: 50-55 - [i4]Hossein Moradian, Solmaz S. Kia:
Cluster-based Distributed Augmented Lagrangian Algorithm for a Class of Constrained Convex Optimization Problems. CoRR abs/1908.06634 (2019) - [i3]Hossein Moradian, Solmaz S. Kia:
A Study on Accelerating Average Consensus Algorithms Using Delayed Feedback. CoRR abs/1912.04442 (2019) - 2018
- [j3]Abdus Sami Hassan, Tooba Arifeen, Hossein Moradian, Jeong-A Lee:
Generation Methodology for Good-Enough Approximate Modules of ATMR. J. Electron. Test. 34(6): 651-665 (2018) - [c6]Hossein Moradian, Solmaz S. Kia:
A Study on Rate of Convergence Increase Due to Time Delay for a Class of Linear Systems. CDC 2018: 5433-5438 - [c5]Hossein Moradian, Sujeong Jo, Kiyoung Choi:
Reconfigurable Multi-Input Adder Design for Deep Neural Network Accelerators. ISOCC 2018: 212-213 - [i2]Hossein Moradian, Solmaz S. Kia:
On Robustness Analysis of a Dynamic Average Consensus Algorithm to Communication Delay. CoRR abs/1805.07456 (2018) - [i1]Hossein Moradian, Solmaz S. Kia:
On the Positive Effect of Delay on the Rate of Convergence of a Class of Linear Time-Delayed Systems. CoRR abs/1812.04030 (2018) - 2017
- [j2]Hossein Moradian, Jeong-A Lee, Joonsang Yu:
Efficient Low-Cost Fault-Localization and Self-Repairing Radix-2 Signed-Digit Adders Applying the Self-Dual Concept. J. Signal Process. Syst. 88(3): 297-309 (2017) - [c4]Hossein Moradian, Solmaz S. Kia:
Dynamic average consensus in the presence of communication delay over directed graph topologies. ACC 2017: 4663-4668 - [c3]Daewoo Kim, Mansureh S. Moghaddam, Hossein Moradian, Hyeon Uk Sim, Jongeun Lee, Kiyoung Choi:
FPGA implementation of convolutional neural network based on stochastic computing. FPT 2017: 287-290 - 2016
- [j1]Hossein Moradian, Jeong-A Lee, Adnan Hashmi:
Self-repairing radix-2 signed-digit adder with multiple error detection, correction, and fault localization. Microelectron. Reliab. 63: 256-266 (2016) - [c2]Tooba Arifeen, Abdus Sami Hassan, Hossein Moradian, Jeong-A Lee:
Probing Approximate TMR in Error Resilient Applications for Better Design Tradeoffs. DSD 2016: 637-640 - 2015
- [c1]Hossein Moradian, Jeong-A Lee:
Low-Cost Fault Localization and Error Correction for a Signed Digit Adder Design Utilizing the Self-Dual Concept. DSD 2015: 276-279
Coauthor Index
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