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.

Xehetasun bibliografikoak
Egile nagusia: Hasan, Nahid
Beste egile batzuk: Alam, Md. Golam Rabiul
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2024
Gaiak:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Sarrera elektronikoa:http://hdl.handle.net/10361/24039

Internet

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

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