6 citations · 9 across the 11 of their papers we have counts for
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cs.LG2023★ 6 cited
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise
Antesh Upadhyay, Abolfazl Hashemi
We propose an improved convergence analysis technique that characterizes the distributed learning paradigm of federated learning (FL) with imperfect/noisy uplink and downlink commu…
cs.LG2023★ 2 cited
On the Convergence of Decentralized Federated Learning Under Imperfect Information Sharing
Vishnu Pandi Chellapandi, Antesh Upadhyay, Abolfazl Hashemi +1
Decentralized learning and optimization is a central problem in control that encompasses several existing and emerging applications, such as federated learning. While there exists…