10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2021
A Privacy-Preserving and Trustable Multi-agent Learning Framework
Anudit Nagar, Cuong Tran, Ferdinando Fioretto
Distributed multi-agent learning enables agents to cooperatively train a model without requiring to share their datasets. While this setting ensures some level of privacy, it has b…
cs.CR2019★ 10 cited
Privacy-Preserving Blockchain Based Federated Learning with Differential Data Sharing
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…