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cs.LG2024
UA-PDFL: A Personalized Approach for Decentralized Federated Learning
Hangyu Zhu, Yuxiang Fan, Zhenping Xie
Federated learning (FL) is a privacy preserving machine learning paradigm designed to collaboratively learn a global model without data leakage. Specifically, in a typical FL syste…
cs.CR2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study
Hangyu Zhu, Liyuan Huang, Zhenping Xie
Federated learning (FL) is an emerging distributed machine learning paradigm proposed for privacy preservation. Unlike traditional centralized learning approaches, FL enables multi…