Antesh Upadhyay

11 papers B 1Misc 2Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedSGM: A Unified Framework for Constraint Aware, Bidirectionally Compressed, Multi-Step Federated Optimization.
CoRR
Antesh Upadhyay, Sang Bin Moon, Abolfazl Hashemi
2026 J jnl
First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints.
CoRR
Zhankun Luo, Antesh Upadhyay, Sang Bin Moon, Abolfazl Hashemi
2024 B conf
Decentralized Federated Learning: Model Update Tracking Under Imperfect Information Sharing.
IEEE Big Data
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2024 J jnl
Equitable Federated Learning with Activation Clustering.
CoRR
Antesh Upadhyay, Abolfazl Hashemi
2024 J jnl
FedNMUT - Federated Noisy Model Update Tracking Convergence Analysis.
CoRR
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2023 J jnl
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise.
IEEE Access
Antesh Upadhyay, Abolfazl Hashemi
2023 J jnl
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise.
CoRR
Antesh Upadhyay, Abolfazl Hashemi
2023 Misc conf
Noisy Communication of Information in Federated Learning: An Improved Convergence Analysis.
ACSSC
Antesh Upadhyay, Abolfazl Hashemi
2023 J jnl
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing.
CoRR
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2023 J jnl
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing.
IEEE Control. Syst. Lett.
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi, Stanislaw H. Zak
2023 Misc conf
Predictive Estimation for Reinforcement Learning with Time-Varying Reward Functions.
ACSSC
Abolfazl Hashemi, Antesh Upadhyay