Asyn2F: An Asynchronous Federated Learning Framework With Bidirectional Model Aggregation

已完结 10 由 pyy 发布于 2026/1/27 13:33:34

DOI:10.1109/TETC.2025.3609004
作者：Tien-Dung Cao;Nguyen T. Vuong;Thai Q. Le;Hoang V. N. Dao;Tram Truong-Huu
文献类型：期刊论文
补充材料：只需要正文

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：In federated learning, the models can be trained synchronously or asynchronously. Many existing works have focused on developing an aggregation method for the server to aggregate multiple lo

应助信息

2小时前

Quartz

202601271443306604292.pdf 已采纳

3小时前

Book学术机器人

2026/1/27 13:33:34 未找到该文献，机器人已退出，请等待人工下载

2026/1/27 13:33:34 Book学术AI机器人收到请求，开始寻找文献

2026/1/27 13:33:34 已向机器人发送请求

3小时前

pyy 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:Institute of Electrical and Electronics Engineers (IEEE)HIFLA: Hilbert-Inspired Federated Learning via Action Principles