Tag: federated learning

A federated Decision Transformer reached 92.5% scheduling accuracy in a simulated industrial environment while reducing parameter transmission by 63% relative ...

A simulated federated model combining speech, images and text improved English translation across classroom, remote and conversational settings without centralizing ...

A new review in Knowledge and Information Systems synthesizes a decade of anomaly detection research across images, videos, and compressed ...

A simulation-based study reports that a federated Edge-AI framework combining smart neck collars and a hybrid GBoost-LSTM model predicted dairy ...

A new federated framework called FedAE-KMeans trains autoencoders locally on each device and clusters compressed latent representations on a central ...

A particle swarm optimization strategy that dynamically selects the most informative clients in federated learning matches state-of-the-art methods for medical ...

A new differentially private federated learning framework called DP-PFLR combines adaptive privacy budgeting, imbalance-aware re-weighting, and personalized aggregation to improve ...

Fed-DATrust is a cross-stage risk-coordination framework that improves the reliability of federated multimodal learning for disaster damage assessment.

A federated deep learning approach improved cardiovascular risk prediction across two Dutch population cohorts while keeping all patient data within ...

A new decentralized zero-knowledge protocol, VeriPriv, enables users to prove possession of attributes such as studentship or auditor status without ...