LSTM based content prediction for edge caching using federated learning approach

LSTM based content prediction for edge caching using federated learning approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Dades bibliogràfiques
Autors principals: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Altres autors: Alam, Md. Golam Rabiul
Format: Thesis
Idioma:English
Publicat: Brac University 2021
Matèries:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Accés en línia:http://hdl.handle.net/10361/15208

Internet

http://hdl.handle.net/10361/15208

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