Tag: differential privacy

A federated multimodal AI framework improved motor skills and social inclusion for preschoolers in a 16-week trial while keeping all ...

A massive 641-run study shows that trust-weighted federated learning can keep a tiny on-device IoT intrusion detector accurate under non-IID ...

Researchers have developed LLMDPA, an AI-powered framework that audits DP-SGD implementations in source code before training begins, catching broken privacy ...

A comprehensive review warns that conversational AI agents pose systemic privacy risks, from memorized personal data and prompt injection attacks ...

Researchers have unveiled a federated learning framework that detects DDoS attacks across IoT networks with up to 96.95 percent accuracy ...

A new cross-domain handover framework for vehicular networks combines one-time anonymous credentials with graph-attention and federated anomaly detection, achieving strong ...

Researchers in India have unveiled a federated learning framework that combines reinforcement learning, tunicate swarm optimization, differential privacy and blockchain ...

A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...

Researchers have developed FedDeepRiskNet++, a federated learning framework that combines differential privacy, homomorphic encryption and adaptive scheduling to let hospitals ...

Researchers in Shanghai have built a privacy-preserving federated AI system that fuses bedside ventilator, ultrasound, and blood gas data with ...