Tag: privacy preservation

Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...

A new federated framework called FedAE-KMeans trains autoencoders locally on each device and clusters compressed latent representations on a central ...

A systematic review in the Journal of Big Data synthesizes research from 2000 to 2025 on intelligent video surveillance, proposing ...

Researchers have developed a privacy-preserving, event-triggered control strategy that uses a deep neural network to defend microgrids against false data ...

Researchers have developed a privacy-preserving, event-triggered control framework that lets coupled neural networks on signed graphs achieve bipartite synchronization without ...

Researchers have built a federated, explainable VAE-LSTM framework that detects previously unseen DDoS attacks in software-defined healthcare networks with over ...

A new blockchain-enabled federated learning framework called IoV BCFL+ detects intrusions across connected vehicle networks with over 96 percent accuracy ...

Researchers have unveiled DBRA-Net, a dual-branch residual attention network that achieves highly accurate image retrieval over encrypted cloud data while ...

Researchers have developed a federated learning-based caching scheme that predicts socially popular content and pre-positions it at the network edge ...