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FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Zhang, Jianqing, Liu, Yang, Hua, Yang, Cao, Jian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Cryptography and Security Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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