35 citations · 107 across the 26 of their papers we have counts for
5 papers · 1 filter
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…
Communication-Efficient Zeroth-Order Distributed Online Optimization: Algorithm, Theory, and Applications
Ege C. Kaya, M. Berk Sahin, Abolfazl Hashemi
This paper focuses on a multi-agent zeroth-order online optimization problem in a federated learning setting for target tracking. The agents only sense their current distances to t…
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy
Decentralized learning enables the training of deep learning models over large distributed datasets generated at different locations, without the need for a central server. However…
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…
Geo-mechanical aspects for breakage detachment of rock fines by Darcys flow
Abolfazl Hashemi, Sara Borazjani, Cuong Nguyen +9
Suspension-colloidal-nano transport in porous media encompasses the detachment of detrital fines against electrostatic attraction and authigenic fines by breakage, from the rock su…