Federated Learning Consortiums
Collaborative machine learning across organizations without sharing raw data.
Privacy-preserving ML frameworks that enable multiple organizations to train shared models on their local data without exposing proprietary information. Organizations collaboratively improve talent prediction, supply chain forecasting, or market intelligence while maintaining competitive confidentiality and regulatory compliance.
TRL
5/9Validated
Impact
5/5
Investment
4/5
Category
Software
Algorithms, models, and digital systems.
