FEDEBA+: TOWARDS FAIR AND EFFECTIVE FEDERATED LEARNING VIA ENTROPY-BASED MODEL
收藏DataCite Commons2025-01-03 更新2025-04-16 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/1ad4f9aa-2027-45ee-b48f-83e576d4c707
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资源简介：
Ensuring fairness is a crucial aspect of Federated Learning (FL), which enables the model to perform consistently across all clients. However, designing an FL algorithm that simultaneously improves global model performance and promotes fairness remains a formidable challenge, as achieving the latter often necessitates a trade-off with the former.
提供机构：
TIB
创建时间：
2025-01-03
