Asynchronous Federated Learning on Heterogeneous Devices: A Survey

9 September 2021

Papers citing "Asynchronous Federated Learning on Heterogeneous Devices: A Survey"

50 / 75 papers shown

Title
Collaborative Split Federated Learning with Parallel Training and Aggregation Yiannis Papageorgiou Yannis Thomas Alexios Filippakopoulos Ramin Khalili Iordanis Koutsopoulos FedML 39 0 0 22 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 34 0 0 05 Apr 2025
Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection William Marfo Deepak K. Tosh Shirley V. Moore Joshua D. Suetterlein Joseph Manzano 39 0 0 19 Mar 2025
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence Ziruo Hao Zhenhua Cui Tao Yang Bo Hu X. Wu Hui Feng 45 1 0 06 Mar 2025
SEAFL: Enhancing Efficiency in Semi-Asynchronous Federated Learning through Adaptive Aggregation and Selective Training Md Sirajul Islam Sanjeev Panta F. Xu Xu Yuan Li Chen N. Tzeng FedML 36 0 0 22 Feb 2025
Delayed Random Partial Gradient Averaging for Federated Learning Xinyi Hu FedML 43 0 0 31 Dec 2024
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition Rastko Gajanin Anastasiya Danilenka Andrea Morichetta Stefan Nastic 107 2 0 21 Nov 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 107 3 0 19 Nov 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation Sayan Biswas Anne-Marie Kermarrec Alexis Marouani Rafael Pires Rishi Sharma M. Vos 25 1 0 16 Oct 2024
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients Yan Li Mingyi Li Xiao Zhang Guangwei Xu Feng Chen Yuan Yuan Yifei Zou Mengying Zhao Jianbo Lu Dongxiao Yu 28 0 0 11 Oct 2024
Quantized and Asynchronous Federated Learning Tomàs Ortega Hamid Jafarkhani FedML 31 0 0 30 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 57 5 0 17 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite Communications Jianfei Sun Cong Wu Shahid Mumtaz Junyi Tao Mingsheng Cao Mei Wang Valerio Frascolla 39 5 0 13 Sep 2024
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations Qi Guo Minghao Yao Zhen Tian Saiyu Qi Yong Qi Yun Lin Jin Song Dong 27 0 0 02 Jul 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning Kun Wang Yi-Rui Yang Wu-Jun Li 42 0 0 05 Jun 2024
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization Emre Sahinoglu Shahin Shahrampour 55 2 0 03 Jun 2024
FedAST: Federated Asynchronous Simultaneous Training Baris Askin Pranay Sharma Carlee Joe-Wong Gauri Joshi 49 1 0 01 Jun 2024
CAFe: Cost and Age aware Federated Learning S. Liyanaarachchi Kanchana Thilakarathna S. Ulukus FedML 32 0 0 24 May 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 46 0 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 39 0 0 11 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 75 7 0 23 Apr 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning Haotian Xu Zhaorui Zhang Sheng Di Benben Liu Khalid Ayedh Alharthi Jiannong Cao FedML 25 5 0 17 Apr 2024
I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey Noah Lewis J. L. Bez Suren Byna 54 0 0 16 Apr 2024
HSViT: Horizontally Scalable Vision Transformer Chenhao Xu Chang-Tsun Li Chee Peng Lim Douglas Creighton ViT 34 2 0 08 Apr 2024
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates Natalie Lang Alejandro Cohen Nir Shlezinger FedML 53 4 0 27 Mar 2024
SignSGD with Federated Voting Chanho Park H. Vincent Poor Namyoon Lee FedML 40 1 0 25 Mar 2024
Fed3DGS: Scalable 3D Gaussian Splatting with Federated Learning Teppei Suzuki 43 9 0 18 Mar 2024
Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning Liang Yu Xiang Sun Rana Albelaihi Chaeeun Park Sihua Shao FedML 35 1 0 11 Mar 2024
Queuing dynamics of asynchronous Federated Learning Louis Leconte Matthieu Jonckheere S. Samsonov Eric Moulines FedML 42 5 0 12 Feb 2024
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems Jikun Gao Ioannis Mavromatis Peizheng Li P. Carnelli Aftab Khan 37 0 0 24 Jan 2024
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 41 11 0 23 Dec 2023
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 24 31 0 10 Dec 2023
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems Ruixuan Liu Ming Hu Zeke Xia Jun Xia Peng Zhang Yihao Huang Yang Liu Mingsong Chen FedML 32 6 0 23 Nov 2023
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler Zilinghan Li Pranshu Chaturvedi Shilan He Han-qiu Chen Gagandeep Singh Volodymyr V. Kindratenko Eliu A. Huerta Kibaek Kim Ravi K. Madduri FedML 39 9 0 26 Sep 2023
Unsupervised anomalies detection in IIoT edge devices networks using federated learning Niyomukiza Thamar Hossam Sharara FedML 25 0 0 23 Aug 2023
FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing Wu-Yang Zhu M. Goudarzi Rajkumar Buyya FedML 32 7 0 05 Aug 2023
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies J. Delgado-Fernandez Martin Brennecke Tom Josua Barbereau Alexander Rieger Gilbert Fridgen FedML AI4CE 29 1 0 04 Aug 2023
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation Tomàs Ortega Hamid Jafarkhani FedML 28 6 0 01 Aug 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 22 63 0 18 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 34 4 0 05 Jul 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably Ziheng Cheng Xinmeng Huang Pengfei Wu Kun Yuan FedML 29 16 0 28 Jun 2023
Deep Equilibrium Models Meet Federated Learning A. Gkillas D. Ampeliotis K. Berberidis FedML 42 3 0 29 May 2023
FAVANO: Federated AVeraging with Asynchronous NOdes Louis Leconte Van Minh Nguyen Eric Moulines FedML 28 2 0 25 May 2023
AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation and Fairness Qi Xiong N. Sohrabi Haikun Dong Chenhao Xu Z. Tari 23 0 0 17 Apr 2023
Asynchronous Federated Continual Learning Donald Shenaj Marco Toldo Alberto Rigon Pietro Zanuttigh FedML CLL 18 34 0 07 Apr 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 Mar 2023
AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT Edward H. Lee B. Kelly E. Altinmakas H. Doğan M. Mohammadzadeh ... Faezeh Sazgara S. Wong Michael E. Moseley S. Halabi Kristen W. Yeom FedML OOD 28 1 0 23 Mar 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 34 13 0 16 Feb 2023
Differentially Private Federated Clustering over Non-IID Data Yiwei Li Shuai Wang Chong-Yung Chi Tony Q. S. Quek FedML 33 12 0 03 Jan 2023
AFLGuard: Byzantine-robust Asynchronous Federated Learning Minghong Fang Jia-Wei Liu Neil Zhenqiang Gong Elizabeth S. Bentley AAML 32 25 0 13 Dec 2022