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.

Detalles Bibliográficos
Autores principales: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Otros Autores: Alam, Md. Golam Rabiul
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2021
Materias:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Acceso en línea:http://hdl.handle.net/10361/15208

Internet

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

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