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Rec-Def: A Recommendation-based Defence Mechanism for Privacy Preservation in Federated Learning Systems
An emergence of attention and regulations on consumer privacy can be observed over the recent years with the ubiquitous availability of IoT systems handling personal
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From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification
A wide adoption of Artificial Intelligence (AI) can be observed in recent years over networking to provide zero-touch, full autonomy of services towards the next
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Privacy-preserved Collaborative Federated Learning Platform for Industrial Internet of Things
Federated learning (FL) is an intriguing approach to privacy-preserving collaborative learning. Decentralised FL is achieving increased favour for investigation due to the mitigation of vulnerability
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