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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Άλλοι συγγραφείς: Alam, Md. Golam Rabiul
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2021
Θέματα:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Διαθέσιμο Online:http://hdl.handle.net/10361/15208

Διαδίκτυο

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

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