Search Results for author: Xingxing Tang

Found 2 papers, 0 papers with code

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning

no code implementations29 Apr 2023 Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang

Different from existing CMOFL works focusing on utility, efficiency, fairness, and robustness, we consider optimizing privacy leakage along with utility loss and training cost, the three primary objectives of a TFL system.

Fairness Federated Learning

FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders

no code implementations24 Nov 2022 Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang

Extensive experimental results under a variety of settings justify the superiority of FedCut, which demonstrates extremely robust model performance (MP) under various attacks.

Community Detection Federated Learning

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