Fast Heterogeneous Federated Learning with Hybrid Client Selection

Fast Heterogeneous Federated Learning with Hybrid Client Selection

10 August 2022

Papers citing "Fast Heterogeneous Federated Learning with Hybrid Client Selection"

9 / 9 papers shown

Title
Energy-Efficient Federated Learning for AIoT using Clustering Methods Roberto Pereira Fernanda Famá Charalampos Kalalas Paolo Dini 19 0 0 14 May 2025
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models Gergely Németh Eros Fani Yeat Jeng Ng Barbara Caputo M. Lozano Nuria Oliver Novi Quadrianto FedML 36 0 0 15 Apr 2025
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning Lin Wang Yang Chen Yongxin Guo Xiaoying Tang FedML 58 0 0 05 Jul 2024
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning Xu Yang Jiyuan Feng Songyue Guo Ye Wang Ye Ding Binxing Fang Qing Liao FedML 45 1 0 14 Mar 2024
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 19 1 0 04 Oct 2023
Intelligent Client Selection for Federated Learning using Cellular Automata Nikolaos Pavlidis V. Perifanis Theodoros Panagiotis Chatzinikolaou G. Sirakoulis P. Efraimidis 28 3 0 01 Oct 2023
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection Rui Song Lingjuan Lyu Wei Jiang Andreas Festag Alois Knoll 37 14 0 19 May 2023
Entropy-driven Fair and Effective Federated Learning Lung-Chuang Wang Zhichao Wang Sai Praneeth Karimireddy Xiaoying Tang Xiaoying Tang FedML 33 9 0 29 Jan 2023
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 23 0 27 May 2022