Xuechao He

2 accepted papers

2023

Byzantine-Robust and Communication-Efficient Personalized Federated Learning

ICASSP 2023accepted

This paper investigates personalized federated learning, in which a group of workers are coordinated by a server to train correlated local models, in addition to a common global model. This distributed statistical learning problem faces two challenges: efficiency of information exchange between the…

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2022

Byzantine-Robust and Communication-Efficient Distributed Non-Convex Learning Over Non-IID Data

Xuechao He, Heng Zhu, Qing Ling

ICASSP 2022accepted

Motivated by the emerging federated learning applications, we jointly consider the problems of Byzantine-robustness and communication efficiency in distributed non-convex learning over non-IID data. We propose a compressed robust stochastic model aggregation (CRSA) method, which applies the idea of…

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