HADFL: Heterogeneity-aware Decentralized Federated Learning Framework

HADFL: Heterogeneity-aware Decentralized Federated Learning Framework

Design Automation Conference (DAC), 2021

16 November 2021

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Papers citing "HADFL: Heterogeneity-aware Decentralized Federated Learning Framework"

6 / 6 papers shown

Title
Towards Practical Overlay Networks for Decentralized Federated LearningIEEE International Conference on Network Protocols (ICNP), 2024 Yifan Hua Jinlong Pang Xiaoxue Zhang Yi Liu X. Shi Bao Wang Yang Liu Chen Qian FedML 165 3 0 09 Sep 2024
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices Peng Zhang Yingjie Liu Yingbo Zhou Xiao Du Xian Wei Ting Wang Xiao He FedML 159 2 0 08 May 2024
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 168 7 0 22 Nov 2023
Decentralized Learning Made Practical with Client Sampling M. Vos Akash Dhasade Anne-Marie Kermarrec Erick Lavoie J. Pouwelse Rishi Sharma 232 1 0 27 Feb 2023
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
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and ChallengesIEEE Communications Surveys and Tutorials (COMST), 2022 Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 423 379 0 15 Nov 2022