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.

Bibliografske podrobnosti
Glavni avtor:	Hasan, Nahid
Drugi avtorji:	Alam, Md. Golam Rabiul
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2024
Teme:	Federated learning Unsupervised learning Auto-encoder Fusion strategy Multisensor data fusion. Electronic data processing > Distributed processing. Neural networks (Computer science). Data mining
Online dostop:	http://hdl.handle.net/10361/24039

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