15 citations · 27 across the 4 of their papers we have counts for
4 papers
Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE
Holger R. Roth, Sarthak Tickoo, Mayank Kumar +18
Fraud-related financial losses continue to rise, while regulatory, privacy, and data-sovereignty constraints increasingly limit the feasibility of centralized fraud detection syste…
FedSyn: Synthetic Data Generation using Federated Learning
Monik Raj Behera, Sudhir Upadhyay, Suresh Shetty +3
As Deep Learning algorithms continue to evolve and become more sophisticated, they require massive datasets for model training and efficacy of models. Some of those data requiremen…
Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment in Mission-Critical Environments
Marco Pistoia, Omar Amer, Monik R. Behera +16
This article describes experimental research studies conducted towards understanding the implementation aspects of high-capacity quantum-secured optical channels in mission-critica…
Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach
Monik Raj Behera, Sudhir Upadhyay, Suresh Shetty
Over the recent years, Federated machine learning continues to gain interest and momentum where there is a need to draw insights from data while preserving the data provider's priv…