Tag: federated learning

A new multiscale AI framework called SCALE-SMART detects open-pit coal mine hazards with 94 percent accuracy while cutting monitoring energy ...

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 unveiled a quantum-inspired, fault-tolerant scheduling framework that cuts task completion times by up to 25 percent in large-scale ...

A new federated framework fine-tunes the Segment Anything Model for multi-organ segmentation by training only tiny low-rank adapters on quantized ...

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

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

Researchers at Shanghai Polytechnic University have developed CDAFIM, a class-difficulty-aware incentive mechanism that uses Shapley values to fairly reward federated ...

Researchers have developed pFedDS, a personalized federated learning approach that measures each model parameter's sensitivity to non-uniform data and adapts ...

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

Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy while keeping all ...