Predictive Estimation for Reinforcement Learning with Time-Varying Reward Functions. - Abolfazl Hashemi; Antesh Upadhyay (ACSSC, 2023)

Noisy Communication of Information in Federated Learning: An Improved Convergence Analysis. - Antesh Upadhyay; Abolfazl Hashemi (ACSSC, 2023)

Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise. - Antesh Upadhyay; Abolfazl Hashemi (IEEE Access, 2023)

On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (IEEE Control. Syst. Lett., 2023)

Decentralized Federated Learning: Model Update Tracking Under Imperfect Information Sharing. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (IEEE Big Data, 2024)

FedNMUT - Federated Noisy Model Update Tracking Convergence Analysis. - Vishnu Pandi Chellapandi; Antesh Upadhyay; Abolfazl Hashemi; Stanislaw H. Zak (CoRR, 2024)

Equitable Federated Learning with Activation Clustering. - Antesh Upadhyay; Abolfazl Hashemi (CoRR, 2024)