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.

Detalhes bibliográficos
Autor principal: Hasan, Nahid
Outros Autores: Alam, Md. Golam Rabiul
Formato: Thesis
Idioma:English
Publicado em: Brac University 2024
Assuntos:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Acesso em linha:http://hdl.handle.net/10361/24039

Internet

http://hdl.handle.net/10361/24039

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