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Federated Learning with Differential Privacy
Federated learning (FL), as a type of distributed machine learning, is capable of significantly preserving client's private data from being shared among different parties.
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation
Recent research has shown that the integration of Reinforcement Learning (RL) with Moving Target Defense (MTD) can enhance cybersecurity in Internet-of-Things (IoT) devices.
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