Multi-objective federated learning: Balancing global performance and individual fairness

Author:

Shen YuhaoORCID,Xi WeiORCID,Cai YunyunORCID,Fan Yuwei,Yang HeORCID,Zhao Jizhong

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference45 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Federated learning: Strategies for improving communication efficiency;Konečnỳ,2016

3. Advances and open problems in federated learning;Kairouz;Found. Trends Mach. Learn.,2021

4. Tensor-empowered federated learning for cyber-physical-social computing and communication systems;Yang;IEEE Commun. Surv. & Tutor.,2023

5. Differentially private set intersection for asymmetrical id alignment;He;IEEE Trans. on Inf. Forensic and Secur.,2022

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