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

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"

16 / 16 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 213 1 0 25 Jul 2024
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang FedML 67 20 0 20 Sep 2023
Personalized Federated Learning With Graph Fengwen Chen Guodong Long Zonghan Wu Tianyi Zhou Jing Jiang FedML 67 54 0 02 Mar 2022
Efficient Neural Network Training via Forward and Backward Propagation Sparsification Xiao Zhou Weizhong Zhang Zonghao Chen Shizhe Diao Tong Zhang 85 45 0 10 Nov 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning Jun Luo Shandong Wu OOD MQ 116 77 0 15 Oct 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 309 869 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 273 814 0 15 Feb 2021
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 62 298 0 15 Dec 2020
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 81 303 0 28 Oct 2020
Federated Learning of a Mixture of Global and Local Models Filip Hanzely Peter Richtárik FedML 53 382 0 10 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 232 6,247 0 10 Dec 2019
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 87 838 0 02 Dec 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 138 1,148 0 13 Sep 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 280 8,878 0 25 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 394 17,453 0 17 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014