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FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Chen, Silin, Liu, Andy, Di, Kangjian, Xu, Yichu, Ye, Han-Jia, Luo, Wenhan, Zou, Ningmu
Format:	Preprint
Publié:	2025
Sujets:	Distributed, Parallel, and Cluster Computing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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