HIFLA: Hilbert-Inspired Federated Learning via Action Principles

已完结 10 由 pyy 发布于 2026/1/27 13:34:32

DOI:10.1109/TETC.2025.3629528
作者：Koffka Khan
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：Federated learning (FL) often suffers from client heterogeneity – differences in data distributions and learning behavior across clients that can degrade the global model’s performance. This

应助信息

2小时前

Quartz

202601271445102156376.pdf 已采纳

3小时前

Book学术机器人

2026/1/27 13:34:32 未找到该文献，机器人已退出，请等待人工下载

2026/1/27 13:34:32 Book学术AI机器人收到请求，开始寻找文献

2026/1/27 13:34:32 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:其它数据库A review of li-ion battery equivalent circuit models