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.

Bibliografiske detaljer
Hovedforfatter: Hasan, Nahid
Andre forfattere: Alam, Md. Golam Rabiul
Format: Thesis
Sprog:English
Udgivet: Brac University 2024
Fag:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Online adgang:http://hdl.handle.net/10361/24039

Internet

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

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