Secure Federated Learning for Cognitive Radio Sensing
Author:
Affiliation:
1. Poznan University of Technology,Poland
2. Princeton University,USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/35/10080872/10080880.pdf?arnumber=10080880
Reference15 articles.
1. When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
2. Studying the Robustness of Anti-Adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors
3. A Survey on Security Aspects for 3GPP 5G Networks;cao;IEEE Commun Surveys & Tutorials,2020
4. Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
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