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"

22 / 22 papers shown

Title
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 36 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 31 0 0 07 Apr 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
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 40 0 0 01 Jul 2024
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu FedML 35 1 0 06 Feb 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 33 31 0 27 Dec 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 44 1 0 16 Nov 2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 33 2 0 31 Aug 2023
Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data Jiaqi Shao Shanshan Han Chaoyang He B. Luo FedML 28 1 0 05 Jul 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 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 24 2 0 28 Feb 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
Federated Learning with Flexible Control Shiqiang Wang Jake B. Perazzone Mingyue Ji Kevin S. Chan FedML 28 17 0 16 Dec 2022
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 42 7 0 03 Dec 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 34 115 0 03 Nov 2022
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity A. Maranjyan M. Safaryan Peter Richtárik 34 13 0 28 Oct 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 22 0 27 May 2022
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 54 72 0 12 Sep 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 77 110 0 04 Jan 2021
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 172 99 0 28 Dec 2020
Optimal Client Sampling for Federated Learning Wenlin Chen Samuel Horváth Peter Richtárik FedML 30 190 0 26 Oct 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018