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Found 2 papers, 1 papers with code
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
However, enabling learning from distributed data over such edge Internet of Things (IoT) systems (e. g., mobile-health and wearable technologies, involving sensitive personal/medical data) in a privacy-preserving fashion presents a major challenge mainly due to their stringent resource constraints, i. e., limited computing capacity, communication bandwidth, memory storage, and battery lifetime.
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning
One type of NTCs that has gained huge attention in recent years applies deep learning on packets in order to classify flows.
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