SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead

3 October 2019

Papers citing "SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead"

45 / 45 papers shown

Title
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing Ming-Lun Lee Han-Chang Chou Yan-AnnChen FedML 36 6 0 07 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 41 0 0 05 Apr 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments Zhiyu Li Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 64 0 0 03 Mar 2025
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 50 1 0 03 Jun 2024
CAFe: Cost and Age aware Federated Learning S. Liyanaarachchi Kanchana Thilakarathna S. Ulukus FedML 35 0 0 24 May 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments Mohak Chadha Alexander Jensen Jianfeng Gu Osama Abboud Michael Gerndt 33 0 0 22 Apr 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control Xiaocheng Li Si-ren Liu Zimu Zhou Bin Guo Yuan Xu Zhiwen Yu 40 0 0 29 Jan 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 26 32 0 10 Dec 2023
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 34 1 0 02 Nov 2023
Chained-DP: Can We Recycle Privacy Budget? Jingyi Li Guangjing Huang Liekang Zeng Lin Chen Xu Chen FedML 36 0 0 12 Sep 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang L. Liu Youwei Ding Wanyi Lu 32 0 0 23 Aug 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang Lei Gao Sunwoo Lee Mi Zhang Salman Avestimehr FedML 34 28 0 14 Apr 2023
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks Marc Katzef Andrew C. Cullen T. Alpcan C. Leckie Justin Kopacz 25 0 0 23 Mar 2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout Jian Xu Mei Yang Wenbo Ding Shao-Lun Huang FedML 22 3 0 11 Mar 2023
Decentralized Learning Made Practical with Client Sampling M. Vos Akash Dhasade Anne-Marie Kermarrec Erick Lavoie J. Pouwelse Rishi Sharma 29 1 0 27 Feb 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks Xiaofan Yu L. Cherkasova Hars Vardhan Quanling Zhao Emily Ekaireb Xiyuan Zhang A. Mazumdar T. Rosing 17 25 0 17 Jan 2023
IronForge: An Open, Secure, Fair, Decentralized Federated Learning Guangsheng Yu Xu Wang Caijun Sun Qin Wang Ping Yu Wei Ni R. Liu Xiwei Xu OOD AI4CE 29 25 0 07 Jan 2023
MDA: Availability-Aware Federated Learning Client Selection Amin Eslami Abyane Steve Drew Hadi Hemmati FedML 18 5 0 25 Nov 2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 66 20 0 28 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 32 13 0 19 Oct 2022
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization Feng Zhu Jingjing Zhang Xin Wang 33 3 0 06 Oct 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q.S. Quek 38 13 0 27 Sep 2022
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation Chenhao Xu Youyang Qu Tom H. Luan Peter W. Eklund Yong Xiang Longxiang Gao 33 34 0 15 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 59 60 0 02 Aug 2022
Communication-Efficient Federated Learning With Data and Client Heterogeneity Hossein Zakerinia Shayan Talaei Giorgi Nadiradze Dan Alistarh FedML 31 7 0 20 Jun 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 27 88 0 11 Apr 2022
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations Qi Liu Bo-Jun Yang Zhaojian Wang Dafeng Zhu Xinyi Wang Kai Ma Xinping Guan 41 38 0 28 Feb 2022
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM) Tengchan Zeng Omid Semiari Walid Saad M. Bennis 34 3 0 26 Dec 2021
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning Reent Schlegel Siddhartha Kumar E. Rosnes Alexandre Graell i Amat FedML 27 43 0 16 Dec 2021
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients Yuchang Sun Jiawei Shao Yuyi Mao Jun Zhang FedML 30 9 0 09 Dec 2021
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 39 61 0 02 Dec 2021
Resource-Efficient Federated Learning A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 34 55 0 01 Nov 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 43 31 0 14 Oct 2021
Coding for Straggler Mitigation in Federated Learning Siddhartha Kumar Reent Schlegel E. Rosnes Alexandre Graell i Amat FedML 26 11 0 30 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 104 245 0 09 Sep 2021
Accelerating Federated Learning with a Global Biased Optimiser Jed Mills Jia Hu Geyong Min Rui Jin Siwei Zheng Jin Wang FedML AI4CE 34 9 0 20 Aug 2021
Federated Learning with Buffered Asynchronous Aggregation John Nguyen Kshitiz Malik Hongyuan Zhan Ashkan Yousefpour Michael G. Rabbat Mani Malek Dzmitry Huba FedML 33 289 0 11 Jun 2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things Yansong Gao Minki Kim Chandra Thapa Sharif Abuadbba Zhi-Li Zhang S. Çamtepe Hyoungshick Kim Surya Nepal 30 59 0 03 Mar 2021
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 62 158 0 17 Sep 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems Wentai Wu Ligang He Weiwei Lin Rui Mao 25 78 0 28 Jul 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration Zirui Xu Zhao Yang Jinjun Xiong Xiang Chen FedML 24 58 0 03 Dec 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 606 0 02 Sep 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 17 977 0 19 Jul 2019
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 1,688 0 14 Apr 2018