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.

Detalles Bibliográficos
Autor Principal:	Hasan, Nahid
Outros autores:	Alam, Md. Golam Rabiul
Formato:	Thesis
Idioma:	English
Publicado:	Brac University 2024
Subjects:	Federated learning Unsupervised learning Auto-encoder Fusion strategy Multisensor data fusion. Electronic data processing > Distributed processing. Neural networks (Computer science). Data mining
Acceso en liña:	http://hdl.handle.net/10361/24039

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