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

IEEE transactions on computers (IEEE Trans. Comput.), 2019

3 October 2019

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

44 / 94 papers shown

Title
MDA: Availability-Aware Federated Learning Client Selection Amin Eslami Abyane Steve Drew Hadi Hemmati FedML 206 6 0 25 Nov 2022
GitFL: Adaptive Asynchronous Federated Learning using Version ControlIEEE Real-Time Systems Symposium (RTSS), 2022 Ming Hu Zeke Xia Zhihao Yue Jun Xia Yihao Huang Yang Liu Xiao He FedML 174 24 0 22 Nov 2022
FedLesScan: Mitigating Stragglers in Serverless Federated Learning M. Elzohairy Mohak Chadha Anshul Jindal Andreas Grafberger Jiatao Gu Michael Gerndt Osama Abboud FedML 265 7 0 10 Nov 2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed DropoutInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 200 28 0 28 Oct 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated LearningFuture Internet (FI), 2022 Liang Yu Xiang Sun Rana Albelaihi Chen Yi FedML 156 16 0 19 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 235 77 0 10 Oct 2022
STSyn: Speeding Up Local SGD with Straggler-Tolerant SynchronizationIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022 Feng Zhu Jingjing Zhang Xin Eric Wang 214 4 0 06 Oct 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge NetworksIEEE Transactions on Wireless Communications (TWC), 2022 Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q.S. Quek 129 19 0 27 Sep 2022
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public TransportationIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022 Chenhao Xu Youyang Qu Tom H. Luan Peter W. Eklund Yong Xiang Longxiang Gao 222 44 0 15 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary SurveyJournal of the Franklin Institute (JFI), 2022 Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 296 69 0 02 Aug 2022
Communication-Efficient Federated Learning With Data and Client HeterogeneityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Hossein Zakerinia Shayan Talaei Giorgi Nadiradze Dan Alistarh FedML 391 12 0 20 Jun 2022
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation Qiyuan Wang Qianqian Yang Shibo He Zhiguo Shi Jiming Chen FedML 286 41 0 27 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution Heqiang Wang Jie Xu FedML 168 12 0 26 May 2022
FederatedScope: A Flexible Federated Learning Platform for HeterogeneityProceedings of the VLDB Endowment (PVLDB), 2022 Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 375 106 0 11 Apr 2022
Towards Efficient and Stable K-Asynchronous Federated Learning with Unbounded Stale Gradients on Non-IID DataIEEE Transactions on Parallel and Distributed Systems (TPDS), 2022 Zihao Zhou Yanan Li Xuebin Ren Shusen Yang 186 36 0 02 Mar 2022
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV StationsIEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022 Qi Liu Bo-Jun Yang Zhaojian Wang Dafeng Zhu Xinyi Wang Kai Ma Xinping Guan 204 46 0 28 Feb 2022
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)IEEE Transactions on Wireless Communications (IEEE TWC), 2021 Tengchan Zeng Omid Semiari Walid Saad M. Bennis 159 8 0 26 Dec 2021
Semi-Decentralized Federated Edge Learning with Data and Device HeterogeneityIEEE Transactions on Network and Service Management (TNSM), 2021 Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang FedML 197 36 0 20 Dec 2021
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning Reent Schlegel Siddhartha Kumar E. Rosnes Alexandre Graell i Amat FedML 150 61 0 16 Dec 2021
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients Yuchang Sun Jiawei Shao Yuyi Mao Jun Zhang FedML 109 10 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 263 82 0 02 Dec 2021
HADFL: Heterogeneity-aware Decentralized Federated Learning FrameworkDesign Automation Conference (DAC), 2021 Jing Cao Zirui Lian Weihong Liu Zongwei Zhu Cheng Ji FedML 53 23 0 16 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and ChallengesIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021 Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 168 92 0 14 Nov 2021
Resource-Efficient Federated LearningEuropean Conference on Computer Systems (EuroSys), 2021 A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 229 68 0 01 Nov 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 184 37 0 14 Oct 2021
Coding for Straggler Mitigation in Federated Learning Siddhartha Kumar Reent Schlegel E. Rosnes Alexandre Graell i Amat FedML 146 12 0 30 Sep 2021
Federated Ensemble Model-based Reinforcement Learning in Edge Computing Jin Wang Jia Hu Jed Mills Geyong Min Ming Xia FedML 169 28 0 12 Sep 2021
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 318 321 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 178 14 0 20 Aug 2021
Federated Learning with Buffered Asynchronous AggregationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 John Nguyen Kshitiz Malik Hongyuan Zhan Ashkan Yousefpour Michael G. Rabbat Mani Malek Dzmitry Huba FedML 319 389 0 11 Jun 2021
Secure and Efficient Federated Learning Through Layering and Sharding BlockchainIEEE Transactions on Network Science and Engineering (TNSE), 2021 Shuo Yuan Bin Cao Yaohua Sun Zhiguo Wan M. Peng 504 38 0 27 Apr 2021
Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach Mingrui Cao Long Zhang Bin Cao FedML 101 8 0 27 Apr 2021
CSAFL: A Clustered Semi-Asynchronous Federated Learning FrameworkIEEE International Joint Conference on Neural Network (IJCNN), 2021 Yu Zhang Moming Duan Duo Liu Li Li Ao Ren Xianzhang Chen Yujuan Tan Chengliang Wang FedML 115 45 0 16 Apr 2021
Server Averaging for Federated Learning George Pu Yanlin Zhou D. Wu Xiaolin Li FedML 111 4 0 22 Mar 2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of ThingsIEEE transactions on computers (IEEE Trans. Comput.), 2021 Yansong Gao Minki Kim Chandra Thapa Sharif Abuadbba Zhi-Li Zhang S. Çamtepe Hyoungshick Kim Surya Nepal 139 76 0 03 Mar 2021
FedProf: Selective Federated Learning with Representation Profiling Wentai Wu Ligang He Weiwei Lin Carsten Maple FedML 372 2 0 02 Feb 2021
Stochastic Client Selection for Federated Learning with Volatile ClientsIEEE Internet of Things Journal (IEEE IoT J.), 2020 Tiansheng Huang Weiwei Lin Li Shen Keqin Li Albert Y. Zomaya FedML 346 117 0 17 Nov 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee Tiansheng Huang Weiwei Lin Wentai Wu Ligang He Keqin Li Albert Y. Zomaya FedML 406 263 0 03 Nov 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 378 172 0 17 Sep 2020
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT G. Biondetti R. Gauriau Christopher P. Bridge Charles Lu Katherine P. Andriole OOD 112 6 0 19 Aug 2020
Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing SystemsIEEE Transactions on Parallel and Distributed Systems (TPDS), 2020 Wentai Wu Ligang He Weiwei Lin Rui Mao 161 95 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 643 89 0 22 Jul 2020
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration Zirui Xu Zhao Yang Jinjun Xiong Xiang Chen FedML 198 64 0 03 Dec 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive SurveyIEEE Communications Surveys and Tutorials (COMST), 2019 Xiaofei Wang Yiwen Han Victor C. M. Leung Dusit Niyato Xueqiang Yan Xu Chen 302 1,116 0 19 Jul 2019