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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
مؤلفون آخرون: Alam, Md. Golam Rabiul
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2021
الموضوعات:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
الوصول للمادة أونلاين:http://hdl.handle.net/10361/15208

الانترنت

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

مواد مشابهة