The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning

22 July 2024

Papers citing "The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning"

5 / 5 papers shown

Title
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 45 1 0 25 Jul 2024
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun-Jie Luo Shandong Wu OOD MQ 60 75 0 15 Oct 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 151 459 0 01 May 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 183 840 0 01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 786 0 15 Feb 2021