Tag: federated learning

Researchers have developed two federated learning algorithms, Bi-Models Training and Multi-Models Training, that remove a client's influence from a shared ...

A new Cluster Computing study using stroke prediction shows that federated learning in healthcare will fail unless it confronts severe ...

A new federated learning framework called FedGPA balances global generalization and client personalization by aggregating neural network layers at different ...

A new review in the Journal of Neuro-Oncology finds that machine learning, especially multimodal AI, is transforming brain cancer outcome ...

Researchers have unveiled FALCON-6G, a framework combining large language models with federated artificial intelligence to deliver faster, more accurate, and ...

Researchers at Donghua University have developed RFLDefense, a layer-wise defense framework that suppresses backdoor attacks in federated learning even when ...

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 ...