Towards practical federated unlearning: A knowledge distillation solution
Federated learning(FL) enables collaborative model training without sharing raw data, yet faces a growing challenge: efficiently removing the influence of a specific client’s data to comply with privacy regulations such as the “right to be forgotten.” In this paper, we introduce a novel knowledge di...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2026-06-01
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| Serier: | Alexandria Engineering Journal |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S1110016826002164 |
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