FedSoft: Soft Clustered Federated Learning with Proximal Local Updating

11 December 2021

Papers citing "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"

29 / 29 papers shown

Title
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang W. Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 21 0 0 11 May 2025
FLStore: Efficient Federated Learning Storage for non-training workloads Ahmad Faraz Khan Samuel Fountain Ahmed M. Abdelmoniem A. R. Butt A. Anwar FedML 41 0 0 01 Mar 2025
Co-clustering for Federated Recommender System Xinrui He Shuo Liu J. Keung Jingrui He FedML 31 9 0 03 Nov 2024
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning I-Cheng Lin Osman Yagan Carlee Joe-Wong FedML 18 1 0 24 Oct 2024
A Bayesian Framework for Clustered Federated Learning Peng Wu Tales Imbiriba Pau Closas FedML 43 0 0 20 Oct 2024
Comparative Evaluation of Clustered Federated Learning Methods Michael Ben Ali Omar El-Rifai Imen Megdiche André Peninou Olivier Teste FedML 24 0 0 18 Oct 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering Rasoul Jafari Gohari Laya Aliahmadipour Ezat Valipour FedML 20 0 0 16 Sep 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning Zhuang Qi Lei Meng Weihao He Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng FedML 25 4 0 30 May 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 25 0 0 24 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 36 2 0 16 May 2024
Fair Concurrent Training of Multiple Models in Federated Learning Marie Siew Haoran Zhang Jong-Ik Park Yuezhou Liu Yichen Ruan Lili Su Stratis Ioannidis Edmund Yeh Carlee Joe-Wong FedML 23 3 0 22 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 43 1 0 19 Apr 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 30 1 0 14 Mar 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications Wei Guo Fuzhen Zhuang Xiao Zhang Yiqi Tong Jin Dong FedML 18 15 0 03 Mar 2024
Exploiting Label Skews in Federated Learning with Model Concatenation Yiqun Diao Q. Li Bingsheng He FedML 16 16 0 11 Dec 2023
REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings Boris Radovic Veljko Pejović FedML 11 2 0 25 Sep 2023
Federated Two Stage Decoupling With Adaptive Personalization Layers Hangyu Zhu Yuxiang Fan Zhenping Xie FedML 13 3 0 30 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 29 244 0 20 Jul 2023
FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization J. Carrillo Nicolas García Trillos Sixu Li Yuhua Zhu FedML 15 17 0 04 May 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Jike Zhong Mingda Zhang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 22 6 0 16 Apr 2023
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks Xabier Sáez-de-Cámara Jose Luis Flores Cristóbal Arellano A. Urbieta Urko Zurutuza 13 55 0 28 Mar 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering Yongxin Guo Xiaoying Tang Tao R. Lin OOD FedML 22 8 0 29 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 55 78 0 03 Jan 2023
An Improved Algorithm for Clustered Federated Learning Harsh Vardhan A. Ghosh A. Mazumdar FedML 13 8 0 20 Oct 2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data Wen-Hsuan Chu Chulin Xie Boxin Wang Linyi Li Lang Yin Arash Nourian Hantong Zhao Bo-wen Li FedML 11 12 0 21 Jul 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 17 24 0 30 May 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 16 20 0 27 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution Heqiang Wang Jie Xu FedML 11 5 0 26 May 2022
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data Samhita Kanaparthy Manisha Padala Sankarshan Damle Ravi Kiran Sarvadevabhatla Sujit Gujar CVBM 16 2 0 06 Sep 2021