Joint Exponential Window-Kalman Filter and Weight Normalized ReLU-Memristor Activation Function-LSTM-based Proactive Content Caching framework in IoV using Asynchronous Federated Learning
Author:
Affiliation:
1. Howard University,Department of Electrical Engineering and Computer Science,Washington,DC,USA,20059
Funder
U.S. Army Research Laboratory
NSF
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622897.pdf?arnumber=10622897
Reference10 articles.
1. Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning
2. CREAT: Blockchain-assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing
3. Cooperative Caching Strategy With Content Request Prediction in Internet of Vehicles
4. Privacy Preserving Misbehavior Detection in IoV Using Federated Machine Learning
5. Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning
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