2 papers
cs.DC2026
Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
Bingnan Xiao, Feng Zhu, Jingjing Zhang +2
Inherent client drifts caused by data heterogeneity, as well as vulnerability to Byzantine attacks within the system, hinder effective model training and convergence in federated l…
cs.IT2022
Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD
Feng Zhu, Jingjing Zhang, Osvaldo Simeone +1
Wall-clock convergence time and communication load are key performance metrics for the distributed implementation of stochastic gradient descent (SGD) in parameter server settings.…