CosPer: An adaptive personalized approach for enhancing fairness and robustness of federated learning-Reference-Cited by-同舟云学术

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CosPer: An adaptive personalized approach for enhancing fairness and robustness of federated learning

Published:2024-07 Issue: Volume:675 Page:120760
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ren Pengcheng,Qi Kaiyue,Li Jialin,Yan Tongjiang,Dai Qiang

Publisher

Elsevier BV

Reference42 articles.

1. Universal approximation abilities of a modular differentiable neural network;Wang;IEEE Trans. Neural Netw. Learn. Syst.,2024

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

3. Towards personalized federated learning;Tan;IEEE Trans. Neural Netw. Learn. Syst.,2023

4. Fedala: adaptive local aggregation for personalized federated learning;Zhang,2023

5. Exploiting shared representations for personalized federated learning;Collins,2021

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