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eess.SP2024
Supplementary File: Cooperative Gradient Coding for Semi-Decentralized Federated Learning
Shudi Weng, Chengxi Li, Ming Xiao +1
Stragglers' effects are known to degrade FL performance. In this paper, we investigate federated learning (FL) over wireless networks in the presence of communication stragglers, w…
eess.SP2024
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation
Chengxi Li, Ming Xiao, Mikael Skoglund
In this article, we address the problem of federated learning in the presence of stragglers. For this problem, a coded federated learning framework has been proposed, where the cen…
eess.SP2019
Distributed Detection of Sparse Stochastic Signals via Fusion of 1-bit Local Likelihood Ratios
Chengxi Li, You He, Xueqian Wang +2
In this letter, we consider the detection of sparse stochastic signals with sensor networks (SNs), where the fusion center (FC) collects 1-bit data from the local sensors and then…