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.

Dettagli Bibliografici
Autore principale:	Hasan, Nahid
Altri autori:	Alam, Md. Golam Rabiul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Federated learning Unsupervised learning Auto-encoder Fusion strategy Multisensor data fusion. Electronic data processing > Distributed processing. Neural networks (Computer science). Data mining
Accesso online:	http://hdl.handle.net/10361/24039

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