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FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Vora, Jayneel, Bouacida, Nader, Krishnan, Aditya, Mohapatra, Prasant
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
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