Aedfl: efficient asynchronous decentralized federated learning with heterogeneous devices

J Liu, T Che, Y Zhou, R Jin, H Dai, D Dou… - Proceedings of the 2024 …, 2024 - SIAM
Federated Learning (FL) has achieved significant achievements recently, enabling
collaborative model training on distributed data over edge devices. Iterative gradient or …
被引用次数：3 相关文章

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices

J Liu, T Che, Y Zhou, R Jin, H Dai, D Dou… - arXiv preprint arXiv …, 2023 - arxiv.org
Federated Learning (FL) has achieved significant achievements recently, enabling
collaborative model training on distributed data over edge devices. Iterative gradient or …

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices

J Liu, T Che, Y Zhou, R Jin, H Dai, D Dou… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Federated Learning (FL) has achieved significant achievements recently, enabling
collaborative model training on distributed data over edge devices. Iterative gradient or …