Tag: federated

Researchers have developed a privacy-preserving federated learning framework that applies differential privacy directly to brainwave feature representations to protect sensitive ...

A systematic review shows that federated learning enables private predictive healthcare across medical devices while achieving over 90 percent diagnostic ...

Researchers have introduced a novel framework called FAAM, or Federated Averaging with Attention Mechanism, designed to improve the efficiency and ...

Researchers have developed FedTrans-KIE, a federated Transformer framework that extracts power marketing entities and operational events at the network edge ...

Researchers have developed TruthNAS, a federated learning framework that combines on-device architecture search with differential privacy to detect misinformation in ...

A federated unlearning framework eliminates target drone data from intrusion detection models while cutting communication rounds by 95 percent on ...

A new decentralized federated learning framework uses particle swarm optimization to dynamically select clients, reporting 76.2% accuracy on CIFAR-10 under ...

Researchers propose CROG and CLIG, two aggregation algorithms that weight client updates by Euclidean gradient distances to stabilize federated learning ...

A retrospective multicenter study in South Korea developed a federated learning model that predicted receipt of coronary revascularization within one ...

A federated learning framework let three oilfields jointly train a gamma-ray prediction model without sharing raw well data, lowering prediction ...