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

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