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FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Lin, Hong, Shou, Lidan, Chen, Ke, Chen, Gang, Wu, Sai
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
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