A Privacy-Preserving and Trustable Multi-agent Learning Framework

no code implementations • 2 Jun 2021 • Anudit Nagar, Cuong Tran, Ferdinando Fioretto

Distributed multi-agent learning enables agents to cooperatively train a model without requiring to share their datasets.

Privacy Preserving

Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing

no code implementations • 10 Dec 2019 • Anudit Nagar

For the modern world where data is becoming one of the most valuable assets, robust data privacy policies rooted in the fundamental infrastructure of networks and applications are becoming an even bigger necessity to secure sensitive user data.

Federated Learning Privacy Preserving