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.

Bibliographische Detailangaben
Hauptverfasser: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Weitere Verfasser: Alam, Md. Golam Rabiul
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2021
Schlagworte:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Online Zugang:http://hdl.handle.net/10361/15208

Online

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

Ähnliche Einträge