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.

Bibliografiska uppgifter
Huvudupphovsman: Hasan, Nahid
Övriga upphovsmän: Alam, Md. Golam Rabiul
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Länkar:http://hdl.handle.net/10361/24039

Internet

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

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