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.

Détails bibliographiques
Auteurs principaux: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Autres auteurs: Alam, Md. Golam Rabiul
Format: Thèse
Langue:English
Publié: Brac University 2021
Sujets:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Accès en ligne:http://hdl.handle.net/10361/15208

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