AEDFL: Efficient Asynchronous Decentralized Federated Learning with
Heterogeneous Devices

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices

18 December 2023

Papers citing "AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices"

16 / 16 papers shown

Title
Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network Ya Liu Kai Yang Yu Zhu Keying Yang Haibo Zhao 8 0 0 14 May 2025
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning Xi Chen Qin Li Haibin Cai Ting Wang 49 0 0 28 Jan 2025
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 70 0 0 02 Dec 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 84 3 0 19 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 3 0 03 Nov 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models Ji Liu Jiaxiang Ren Ruoming Jin Zijie Zhang Yang Zhou P. Valduriez Dejing Dou FedML 26 1 0 30 Sep 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data Ji Liu Juncheng Jia Hong Zhang Yuhui Yun Leye Wang Yang Zhou H. Dai Dejing Dou FedML 30 5 0 11 Aug 2024
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning Ji Liu Chunlu Chen Yu Li Lin Sun Yulun Song Jingbo Zhou Bo Jing Dejing Dou 46 9 0 28 Mar 2024
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 37 10 0 23 Dec 2023
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 99 137 0 08 Nov 2021
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity Saeed Vahidian Mahdi Morafah Bill Lin 56 57 0 02 May 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 943 0 03 Feb 2021
Hessian-Aware Pruning and Optimal Neural Implant Shixing Yu Z. Yao A. Gholami Zhen Dong Sehoon Kim Michael W. Mahoney Kurt Keutzer 46 59 0 22 Jan 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation Jun Li Yumeng Shao Kang Wei Ming Ding Chuan Ma Long Shi Zhu Han Vincent Poor FedML 55 150 0 18 Jan 2021
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 83 152 0 02 Mar 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016