Tag: privacy-preserving AI

Researchers have developed FedML-DKD, a federated learning framework that uses Earth Mover's Distance to adaptively balance knowledge distillation and meta-learning, ...

Researchers in India have developed ASHA, a federated learning algorithm that weights each client's updates by a dynamic contribution score, ...

A new study compares federated averaging, decentralized gossip learning, and a hybrid of the two for classifying invasive ductal carcinoma ...

Researchers have developed Fed-A²LoRA, a federated fine-tuning method that halves trainable adapter parameters and cuts communication costs by up to ...

A new confidentiality-preserving spiking neural transformer detects breast cancer in histopathology images with over 98% accuracy while computing entirely on ...

Japanese researchers show that federated learning networks can progressively improve brain lesion detection software as hospitals join one at a ...

Researchers have built a federated deep learning system that predicts sepsis across simulated hospitals with 93.6 percent accuracy while keeping ...

Researchers have built a federated hybrid quantum-classical neural network that classifies Alzheimer's disease from MRI scans with benchmark accuracies above ...

A proof-of-concept study shows that differentially private, explainable AI can detect vasovagal syncope from tilt-test data with minimal accuracy loss, ...