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.

書誌詳細
第一著者: Hasan, Nahid
その他の著者: Alam, Md. Golam Rabiul
フォーマット: 学位論文
言語:English
出版事項: Brac University 2024
主題:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
オンライン･アクセス:http://hdl.handle.net/10361/24039

インターネット

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

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