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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"

50 / 94 papers shown

Title
Helmsman: Autonomous Synthesis of Federated Learning Systems via Multi-Agent Collaboration Haoyuan Li Mathias Funk Aaqib Saeed 98 0 0 16 Oct 2025
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice Kevin Kuo Chhavi Yadav Virginia Smith FedML 140 0 0 14 Oct 2025
Private Federated Multiclass Post-hoc Calibration Samuel Maddock Graham Cormode Carsten Maple FedML 117 0 0 02 Oct 2025
Asynchronous Federated Learning with non-convex client objective functions and heterogeneous datasetIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025 Ali Forootani Raffaele Iervolino FedML 83 0 0 03 Aug 2025
RIFLES: Resource-effIcient Federated LEarning via Scheduling Sara Alosaime Arshad Jhumka FedML 153 0 0 19 May 2025
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge ComputingInternational Conference on Mobile Computing and Ubiquitous Networking (ICMCUN), 2021 Ming-Lun Lee Han-Chang Chou Yan-AnnChen FedML 216 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 320 3 0 05 Apr 2025
Accelerating MoE Model Inference with Expert Sharding Oana Balmau Anne-Marie Kermarrec Rafael Pires André Loureiro Espírito Santo M. Vos Milos Vujasinovic MoE 232 3 0 11 Mar 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments Hui Yuan Yubo Yang Tao Yang X. Wu Ziyu Guo Bo Hu 324 0 0 03 Mar 2025
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective TrainingIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2025 Md Sirajul Islam Sanjeev Panta F. Xu Xu Yuan Li Chen N. Tzeng FedML 198 0 0 22 Feb 2025
Artificial Intelligence of Things: A Survey Shakhrul Iman Siam Hyunho Ahn Li Liu Samiul Alam Jikang Cheng Zhichao Cao Ness Shroff Bhaskar Krishnamachari Mani Srivastava Mi Zhang 104 38 0 25 Oct 2024
A Novel Buffered Federated Learning Framework for Privacy-Driven Anomaly Detection in IIoTGlobal Communications Conference (GLOBECOM), 2024 Samira Kamali Poorazad Chafika Benzaid T. Taleb 131 3 0 16 Aug 2024
A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning Jiajun Song Jiajun Luo Rongwei Lu Shuzhao Xie Bin Chen Zhi Wang FedML 114 2 0 06 Jul 2024
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning Boyu Fan Chenrui Wu Xiang Su Pan Hui FedML 242 4 0 06 Jul 2024
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting Jeffrey Ma Alan Tu Yiling Chen Vijay Janapa Reddi FedML 189 5 0 05 Jun 2024
Asynchronous Byzantine Federated Learning Bart Cox Abele Malan Lydia Y. Chen Jérémie Decouchant 210 2 0 03 Jun 2024
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning Yunbo Li Jiaping Gui Yue Wu FedML 128 0 0 25 May 2024
CAFe: Cost and Age aware Federated Learning S. Liyanaarachchi Kanchana Thilakarathna S. Ulukus FedML 112 1 0 24 May 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 180 2 0 24 May 2024
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations Yumeng Shao Jun Li Long Shi Kang Wei Ming Ding Qianmu Li Zengxiang Li Wen Chen Shi Jin FedML 143 1 0 11 May 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments Mohak Chadha Alexander Jensen Jianfeng Gu Osama Abboud Michael Gerndt 217 0 0 22 Apr 2024
CaBaFL: Asynchronous Federated Learning via Hierarchical Cache and Feature Balance Zeke Xia Ming Hu Dengke Yan Xiaofei Xie Tianlin Li Anran Li Junlong Zhou Xiao He 141 3 0 19 Apr 2024
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models Zihan Fang Zheng Lin Zhe Chen Xianhao Chen Yue Gao Yuguang Fang 223 50 0 09 Apr 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Stefano Rini FedML 193 12 0 27 Mar 2024
Federated Learning based on Pruning and Recovery Chengjie Ma FedML 104 1 0 16 Mar 2024
BlockFUL: Enabling Unlearning in Blockchained Federated Learning Xiao Liu Mingyuan Li Xu Wang Guangsheng Yu Wei Ni Lixiang Li Haipeng Peng Renping Liu MU 81 3 0 26 Feb 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness ControlProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2024 Xiaocheng Li Si-ren Liu Zimu Zhou Bin Guo Yuan Xu Zhiwen Yu 230 2 0 29 Jan 2024
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 241 17 0 23 Dec 2023
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices Ji Liu Tianshi Che Yang Zhou Ruoming Jin H. Dai Dejing Dou P. Valduriez 213 21 0 18 Dec 2023
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID DataIEEE Open Journal of Vehicular Technology (IEEE Open J. Veh. Technol.), 2023 Youssra Cheriguene Wael Jaafar H. Yanikomeroglu C. A. Kerrache 161 12 0 16 Dec 2023
Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning Xiaorui Jiang Hengwei Xu Yu Gao Yong Liao Pengyuan Zhou Pengyuan Zhou FedML 90 0 0 16 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model UpdateAAAI Conference on Artificial Intelligence (AAAI), 2023 Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 191 64 0 10 Dec 2023
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning Dengke Yan Ming Hu Zeke Xia Yanxin Yang Jun Xia Xiaofei Xie Xiao He FedML 160 7 0 22 Nov 2023
Concept Matching: Clustering-based Federated Continual Learning Xiaopeng Jiang Marcello Restelli FedML 244 1 0 12 Nov 2023
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 200 1 0 02 Nov 2023
Serverless Federated Learning with flwr-serverless Sanjeev V. Namjoshi Reese Green Krishi Sharma Zhangzhang Si 121 0 0 23 Oct 2023
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware SchedulerInternational Conference on Learning Representations (ICLR), 2023 Zilinghan Li Pranshu Chaturvedi Shilan He Han-qiu Chen Gagandeep Singh Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 198 16 0 26 Sep 2023
Chained-DP: Can We Recycle Privacy Budget?International Workshop on Quality of Service (IWQoS), 2023 Jingyi Li Guangjing Huang Liekang Zeng Lin Chen Xu Chen FedML 228 0 0 12 Sep 2023
Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks Wenbin Zhai Feng Wang Lu Liu Youwei Ding Wanyi Lu 141 1 0 23 Aug 2023
EdgeConvEns: Convolutional Ensemble Learning for Edge IntelligenceIEEE Access (IEEE Access), 2023 Ilkay Sikdokur Inci M. Baytas A. Yurdakul FedML 124 0 0 25 Jul 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang Lei Gao Sunwoo Lee Mi Zhang Salman Avestimehr FedML 197 46 0 14 Apr 2023
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack DiscriminationConference on Computer Communications Workshops (INFOCOM), 2023 Muhammad Akbar Husnoo A. Anwar H. Reda N. Hosseinzadeh S. Islam A. N. Mahmood R. Doss 143 11 0 28 Mar 2023
Asynchronous Online Federated Learning with Reduced Communication RequirementsIEEE Internet of Things Journal (IEEE IoT J.), 2023 François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh 190 7 0 27 Mar 2023
Failure-tolerant Distributed Learning for Anomaly Detection in Wireless Networks Marc Katzef Andrew C. Cullen T. Alpcan C. Leckie Justin Kopacz 142 0 0 23 Mar 2023
Byzantine-Resilient Federated Learning at EdgeIEEE transactions on computers (IEEE Trans. Comput.), 2023 Youming Tao Sijia Cui Wenlu Xu Haofei Yin Dongxiao Yu W. Liang Xiuzhen Cheng FedML 120 25 0 18 Mar 2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout Jian Xu Mei Yang Wenbo Ding Shao-Lun Huang FedML 201 6 0 11 Mar 2023
Decentralized Learning Made Practical with Client Sampling M. Vos Akash Dhasade Anne-Marie Kermarrec Erick Lavoie J. Pouwelse Rishi Sharma 212 1 0 27 Feb 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT NetworksInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2023 Xiaofan Yu L. Cherkasova Hars Vardhan Quanling Zhao Emily Ekaireb Xiyuan Zhang A. Mazumdar T. Rosing 279 43 0 17 Jan 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping studyCluster Computing (CC), 2022 Rachid El Mokadem Yann Ben Maissa Zineb El Akkaoui 142 9 0 09 Jan 2023
IronForge: An Open, Secure, Fair, Decentralized Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Guangsheng Yu Xu Wang Caijun Sun Qin Wang Ping Yu Wei Ni R. Liu Xiwei Xu OOD AI4CE 133 31 0 07 Jan 2023