SAFER-FL: A ROBUST CLOUD–EDGE FEDERATED LEARNING FRAMEWORK FOR SECURE COMMUNICATION AND COMPUTATION UNDER POISONING ATTACKS
收藏DataCite Commons2026-04-10 更新2026-05-04 收录
下载链接：
https://data.mendeley.com/datasets/25ddh97czc/1
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资源简介：
The dataset proposes SAFER-FL, a strong and safe federated learning framework that solves the problems of secure communication and computation in cloud-edge settings that are under poisoning threats. The framework uses important tools, including accuracy-based client filtering, trimmed aggregation, and safe aggregation, to lessen the effects of bad client updates.
提供机构：
Mendeley Data
创建时间：
2026-04-10
