Tag: federated learning

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 ...

Researchers have developed FedHybrid-ViT, a privacy-preserving framework that fuses convolutional and transformer models within federated learning to detect deepfakes across ...

A systematic review in Applied Intelligence introduces a two-axis taxonomy that maps how large language models enhance graph neural networks ...

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 Morocco have integrated federated learning with the OneM2M IoT service layer, showing faster, privacy-preserving machine learning at the ...

Researchers at Marmara University have designed a Mutex-based sequential federated learning architecture that enables full fine-tuning of TinyLlama-1.1B on resource-constrained ...

A Perspective in National Science Review argues that legal artificial intelligence must move beyond prediction toward interpretability, reliability, and the ...

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