Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling

21 December 2021

Leandros Tassiulas

Papers citing "Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling"

50 / 61 papers shown

Title
Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling Yanzhao Hou Jiaxiang Geng Boyu Li Xiaofeng Tao Juncheng Wang Xiaodong Xu B. Luo 130 0 0 29 May 2025
Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning Shudi Weng Chao Ren Ming Xiao Mikael Skoglund FedML 89 2 0 16 May 2025
A Federated Random Forest Solution for Secure Distributed Machine Learning Alexandre Cotorobai Jorge Miguel Silva Jose Luis Oliveira OOD FedML 171 0 0 12 May 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 211 0 0 21 Apr 2025
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 227 2 0 07 Apr 2025
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 102 0 0 02 Apr 2025
PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis Yanfei Li Teng Yin Wenyi Shang Jing Liu Xi Wang Kaiyang Zhao MedIm 153 1 0 05 Mar 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Yu Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 214 16 0 14 Feb 2025
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 195 4 0 02 Dec 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues Yunming Liao Yang Xu Hongli Xu Zhiwei Yao Liusheng Huang C. Qiao FedML 97 14 0 02 Oct 2024
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning Zhidong Gao Zhenxiao Zhang Yu Zhang Tongnian Wang Yanmin Gong Yuanxiong Guo 136 0 0 29 Sep 2024
Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning Zhidong Gao Yu Zhang Yanmin Gong Yuanxiong Guo 70 0 0 29 Sep 2024
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning Chenlin Wu Xiaoyu He Zike Li Zibin Zheng Zibin Zheng FedML 173 0 0 24 Sep 2024
Green Federated Learning: A new era of Green Aware AI Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Francesco Piccialli AI4CE 157 9 0 19 Sep 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets Xingrun Yan Shiyuan Zuo Rongfei Fan Han Hu Li Shen Puning Zhao Yong Luo FedML 116 0 0 19 Aug 2024
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment T. Legler Vinit Hegiste Ahmed Anwar Martin Ruskowski 83 2 0 18 Aug 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 133 1 0 26 Jul 2024
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection Jiaxiang Geng Boyu Li Xiaoqi Qin Yixuan Li Liang Li Yanzhao Hou Miao Pan FedML 206 0 0 01 Jul 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 119 9 0 16 Jun 2024
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks R. Saha Mohamed Seif M. Yemini Andrea J. Goldsmith H. Vincent Poor FedML 104 3 0 06 Jun 2024
FedAST: Federated Asynchronous Simultaneous Training Baris Askin Pranay Sharma Carlee Joe-Wong Gauri Joshi 125 2 0 01 Jun 2024
Federated Learning with Multi-resolution Model Broadcast Henrik Rydén Reza Moosavi Erik G. Larsson 93 1 0 30 May 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo Lin Wang Xiaoying Tang Tao R. Lin FedML OOD 137 0 0 25 May 2024
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning Mengwei Yang Ismat Jarin Baturalp Buyukates A. Avestimehr A. Markopoulou FedML 60 2 0 21 May 2024
Towards Fairness in Provably Communication-Efficient Federated Recommender Systems Kirandeep Kaur Sujit Gujar Shweta Jain FedML 147 0 0 03 May 2024
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks Bingnan Xiao Jingjing Zhang Wei Ni Xin Eric Wang 99 1 0 23 Apr 2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks Bing Luo Wenli Xiao Maroun Touma Jianwei Huang Leandros Tassiulas FedML 124 8 0 22 Apr 2024
GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning Shijie Na Yuzhi Liang S.M. Yiu FedML 75 0 0 26 Mar 2024
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling Jiaxiang Geng Yanzhao Hou Xiaofeng Tao Juncheng Wang Bing Luo FedML 98 0 0 15 Feb 2024
Federated Learning Can Find Friends That Are Advantageous N. Tupitsa Samuel Horváth Martin Takávc Eduard A. Gorbunov FedML 147 2 0 07 Feb 2024
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu FedML 118 2 0 06 Feb 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection Liangqi Yuan Dong-Jun Han Su Wang Devesh Upadhyay Christopher G. Brinton 101 13 0 30 Jan 2024
LEFL: Low Entropy Client Sampling in Federated Learning Waqwoya Abebe J. P. Muñoz Ali Jannesari FedML 83 1 0 29 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 105 55 0 27 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 138 47 0 14 Dec 2023
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks Jiaming Yan Jianchun Liu Shilong Wang Hong-Ze Xu Haifeng Liu Jianhua Zhou FedML 89 6 0 04 Dec 2023
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation Yunming Liao Yang Xu Hong-Ze Xu Lun Wang Zhiwei Yao C. Qiao FedML MoMe 126 16 0 22 Nov 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 122 1 0 16 Nov 2023
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification Baris Büyüktas Gencer Sumbul Begüm Demir FedML 139 7 0 10 Nov 2023
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset Weijie Liu Xiaoxi Zhang Jingpu Duan Carlee Joe-Wong Zhi Zhou Xu Chen 97 15 0 20 Oct 2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 118 4 0 31 Aug 2023
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data Jiaqi Shao Shanshan Han Chaoyang He B. Luo FedML 79 1 0 05 Jul 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions Bingnan Xiao Xichen Yu Wei Ni Xin Wang H. Vincent Poor 121 26 0 03 Jul 2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation Bing Luo Yutong Feng Maroun Touma Jianwei Huang Leandros Tassiulas FedML 81 14 0 17 Apr 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 197 2 0 28 Mar 2023
A Generalized Look at Federated Learning: Survey and Perspectives Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae Zhaohui Yang OOD FedML 92 1 0 26 Mar 2023
Optimization Design for Federated Learning in Heterogeneous 6G Networks Bing Luo Xiaomin Ouyang Peng Sun Pengchao Han Ningning Ding Jianwei Huang 91 19 0 15 Mar 2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout Jian Xu Mei Yang Wenbo Ding Shao-Lun Huang FedML 130 3 0 11 Mar 2023
Collaborative Mean Estimation over Intermittently Connected Networks with Peer-To-Peer Privacy R. Saha Mohamed Seif M. Yemini Andrea J. Goldsmith H. Vincent Poor FedML 125 2 0 28 Feb 2023
Federated Learning with Regularized Client Participation Grigory Malinovsky Samuel Horváth Konstantin Burlachenko Peter Richtárik FedML 113 15 0 07 Feb 2023