Efficient asynchronous federated learning with sparsification and quantization

J Jia, J Liu, C Zhou, H Tian, M Dong… - Concurrency and …, 2024 - Wiley Online Library
While data is distributed in multiple edge devices, federated learning (FL) is attracting more
and more attention to collaboratively train a machine learning model without transferring raw …
被引用次数：5 相关文章

Efficient Asynchronous Federated Learning with Sparsification and Quantization

J Jia, J Liu, C Zhou, H Tian, M Dong, D Dou - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
While data is distributed in multiple edge devices, Federated Learning (FL) is attracting more
and more attention to collaboratively train a machine learning model without transferring raw …

Efficient Asynchronous Federated Learning with Sparsification and Quantization

J Jia, J Liu, C Zhou, H Tian, M Dong, D Dou - arXiv preprint arXiv …, 2023 - arxiv.org
While data is distributed in multiple edge devices, Federated Learning (FL) is attracting more
and more attention to collaboratively train a machine learning model without transferring raw …