An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy

An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2024.

Détails bibliographiques
Auteur principal:	Hasan, Nahid
Autres auteurs:	Alam, Md. Golam Rabiul
Format:	Thèse
Langue:	English
Publié:	Brac University 2024
Sujets:	Federated learning Unsupervised learning Auto-encoder Fusion strategy Multisensor data fusion. Electronic data processing > Distributed processing. Neural networks (Computer science). Data mining
Accès en ligne:	http://hdl.handle.net/10361/24039

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