Výsledky vyhledávání - "SHETTY, SURESH"

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FedSyn: Synthetic Data Generation using Federated Learning

Autor: Behera, Monik Raj, Upadhyay, Sudhir, Shetty, Suresh, Priyadarshini, Sudha, Patel, Palka, Lee, Ker Farn

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 requirements can be met with the help of existing datasets within the organizati

Externí odkaz: http://arxiv.org/abs/2203.05931

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Paving the Way towards 800 Gbps Quantum-Secured Optical Channel Deployment in Mission-Critical Environments

Autor: Pistoia, Marco, Amer, Omar, Behera, Monik R., Dolphin, Joseph A., Dynes, James F., John, Benny, Haigh, Paul A., Kawakura, Yasushi, Kramer, David H., Lyon, Jeffrey, Moazzami, Navid, Movva, Tulasi D., Polychroniadou, Antigoni, Shetty, Suresh, Sysak, Greg, Toudeh-Fallah, Farzam, Upadhyay, Sudhir, Woodward, Robert I., Shields, Andrew J.

Publikováno v: Quantum Science and Technology, Institute of Physics, May 2023

This article describes experimental research studies conducted towards understanding the implementation aspects of high-capacity quantum-secured optical channels in mission-critical metro-scale operational environments using Quantum Key Distribution

Externí odkaz: http://arxiv.org/abs/2202.07764

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Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach

Autor: Behera, Monik Raj, Upadhyay, Sudhir, Shetty, Suresh

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 privacy. However, one among other existing challenges in the adoption of f

Externí odkaz: http://arxiv.org/abs/2107.10243

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