Tag: federated learning

A new narrative review finds AI tools improving diagnostic sensitivity and workflow efficiency in radiology while warning of demographic bias, ...

A new editorial collection documents how artificial intelligence is reshaping particle accelerator science, from surrogate models already in practical use ...

A new scoping review of 73 studies argues that explanations in AI-driven 5G and 6G networks must balance fidelity, latency, ...

A new study shows federated learning's average accuracy can mask severe failures for individual clients, and that server-side re-weighting destabilizes ...

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

FedSPA combines Shapley-value analysis and model parameter similarity to identify malicious clients in federated learning under data poisoning attacks.

A comprehensive review of more than 200 peer-reviewed publications examines how communication protocols, security frameworks, AI, blockchain and quantum technologies ...

A new framework for privacy-preserving healthcare analytics, published in Discover Artificial Intelligence, reports measurable gains in accuracy, latency, and communication ...

A federated, differentially private multimodal framework detects depression and anxiety across three benchmarks with F1 up to 0.806 while cutting ...

A new open-access framework combines graph neural networks, LSTM models, large language models and federated learning to detect money laundering ...