Device Scheduling and Update Aggregation Policies for Asynchronous
Federated Learning

Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning

International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021

23 July 2021

Erik G. Larsson

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Papers citing "Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning"

8 / 8 papers shown

Title
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 278 1 0 06 Mar 2025
Opportunistic Transmission of Distributed Learning Models in Mobile UAVsIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2023 Jingxin Li Xiaolan Liu Toktam Mahmoodi 136 2 0 15 Jun 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
Communication Trade-offs in Federated Learning of Spiking Neural Networks Soumi Chaki David Weinberg Ayça Özçelikkale FedML 241 2 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
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMOIEEE Transactions on Wireless Communications (TWC), 2022 Houssem Sifaou Geoffrey Ye Li 251 17 0 13 Dec 2022
Pisces: Efficient Federated Learning via Guided Asynchronous TrainingACM Symposium on Cloud Computing (SoCC), 2022 Zhifeng Jiang Wei Wang Baochun Li Yue Liu FedML 133 29 0 18 Jun 2022
Asynchronous Federated Learning on Heterogeneous Devices: A Survey Chenhao Xu Youyang Qu Yong Xiang Longxiang Gao FedML 314 315 0 09 Sep 2021