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.

Bibliografische gegevens
Hoofdauteur:	Hasan, Nahid
Andere auteurs:	Alam, Md. Golam Rabiul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Federated learning Unsupervised learning Auto-encoder Fusion strategy Multisensor data fusion. Electronic data processing > Distributed processing. Neural networks (Computer science). Data mining
Online toegang:	http://hdl.handle.net/10361/24039

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