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.

Бібліографічні деталі
Автор: Hasan, Nahid
Інші автори: Alam, Md. Golam Rabiul
Формат: Дисертація
Мова:English
Опубліковано: Brac University 2024
Предмети:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Онлайн доступ:http://hdl.handle.net/10361/24039

Інтернет

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

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