An empirical study of the inherent resistance of knowledge distillation based federated learning to targeted poisoning attacks
While the integration of Knowledge Distillation (KD) into Federated Learning (FL) has recently emerged as a promising solution to address the challenges of heterogeneity and communication efficiency, little is known about the security of these schemes against poisoning attacks prevalent in vanilla F...
主要な著者: | , , |
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その他の著者: | |
フォーマット: | Conference Paper |
言語: | English |
出版事項: |
2024
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主題: | |
オンライン・アクセス: | https://hdl.handle.net/10356/173117 |