Async-HFL: Efficient and Robust Asynchronous Federated Learning in
Hierarchical IoT Networks

Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

17 January 2023

Papers citing "Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks"

17 / 17 papers shown

Title
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies Harsh Vardhan Xiaofan Yu Tajana Rosing A. Mazumdar FedML 39 0 0 02 Apr 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 53 0 0 21 Feb 2025
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning Nathaniel Hudson Valérie Hayot-Sasson Y. Babuji Matt Baughman J. G. Pauloski Ryan Chard Ian Foster Kyle Chard 25 0 0 24 Sep 2024
FedAST: Federated Asynchronous Simultaneous Training Baris Askin Pranay Sharma Carlee Joe-Wong Gauri Joshi 31 1 0 01 Jun 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 35 1 0 24 May 2024
PPS-QMIX: Periodically Parameter Sharing for Accelerating Convergence of Multi-Agent Reinforcement Learning Ke Zhang DanDan Zhu Qiuhan Xu Hao Zhou Ce Zheng 21 0 0 05 Mar 2024
Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation Tien-Dung Cao Nguyen T. Vuong Thai Q. Le Hoang V.N. Dao Tram Truong-Huu FedML 25 0 0 03 Mar 2024
Ensembler: Combating model inversion attacks using model ensemble during collaborative inference Dancheng Liu Jinjun Xiong MIACV FedML AAML 19 0 0 19 Jan 2024
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis Shuaijun Chen Omid Tavallaie Michael Henri Hambali S. M. Zandavi Hamed Haddadi Nicholas D. Lane Song Guo Albert Y. Zomaya FedML 13 0 0 12 Oct 2023
Time-sensitive Learning for Heterogeneous Federated Edge Intelligence Yong Xiao Xiaohan Zhang Guangming Shi Marwan Krunz Diep N. Nguyen D. Hoang 13 15 0 26 Jan 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 97 133 0 08 Nov 2021
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data A. Abdellatif N. Mhaisen Amr M. Mohamed A. Erbad M. Guizani Z. Dawy W. Nasreddine FedML 55 92 0 14 Jul 2021
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning Hyun-Suk Lee Jang-Won Lee 74 52 0 02 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 180 832 0 01 Mar 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Ahmed Imteaj M. Amini 73 51 0 11 Jan 2021
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 156 553 0 27 Jul 2020