Tag: federated learning

Italian researchers have proposed OBESI-NET, a conceptual national AI-supported ecosystem for obesity surveillance and precision medicine that has not yet ...

OceanWeave framework tackles blockchain trilemma with federated learning and sharded compute-to-data consensus

A new framework called OceanWeave combines Ocean Protocol data markets, sharded compute-to-data consensus, and encrypted federated learning, reporting 3,200 TPS ...

New Federated Learning Aggregation Rules Keep AI Training Stable When Client Data Diverge

Researchers propose CROG and CLIG, two aggregation algorithms that weight client updates by Euclidean gradient distances to stabilize federated learning ...

Federated Learning Alone Cannot Guarantee Privacy in Healthcare, EU Analysis Warns

A new EU-focused analysis argues that federated learning reduces some data exposure risks but cannot by itself guarantee privacy or ...

Federated learning framework aims to stabilize colorectal cancer CT classification across hospitals

A new personalized federated learning framework uses Transformer-based dynamic aggregation and adaptive regularization to improve colorectal cancer CT image classification ...

Carbon-Budgeted Federated Learning Adds Blockchain Auditing to Healthcare AI

A simulated federated learning framework combines carbon-budgeted client selection, blockchain auditing, and gradient-boosting ensembles for cardiovascular prediction.

Explainable AI lags in stroke lesion deep learning, review finds

by Cassandra Pierce

A systematic review finds hybrid CNN-transformer models lead stroke lesion analysis, but explainable AI appears in only 11 percent of ...

Touchless gesture control in hospitals still falls short of the lab, review finds

by Blake Davidson

A systematic review finds that vision-based touchless gesture recognition systems, despite laboratory accuracies above 95%, lose 1 to 23 percentage ...

Blueprints for a Pan-African Digital Research Infrastructure Take Shape

by Denise Maddox