FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure

14 October 2020

Papers citing "FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure"

8 / 8 papers shown

Title
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 87 0 0 06 Mar 2025
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q. S. Quek Kai Fong Ernest Chong OOD FedML 26 13 0 29 Jan 2024
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association Qiong Wu Xu Chen Ouyang Tao Zhi Zhou Xiaoxi Zhang Shusen Yang Junshan Zhang 22 44 0 16 Jan 2023
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 18 221 0 15 Nov 2022
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park C. Hong FedML 18 6 0 28 Oct 2022
Group Personalized Federated Learning Zhe Liu Yue Hui Fuchun Peng FedML 26 2 0 04 Oct 2022
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021