fault-tolerant-distributed-gradient-descent | episodes


listen on castbox.fmlisten on google podcastslisten on player.fmlisten on pocketcastslisten on podcast addictlisten on tuninlisten on Amazon Musiclisten on Stitcher

--:--
--:--


Fault Tolerant Distributed Gradient Descent

Nirupam Gupta, a Computer Science Post Doctoral Researcher at EDFL University in Switzerland, joins us today to discuss his work Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent.

Conference Details:

https://georgetown.zoom.us/meeting/register/tJ0sc-2grDwjEtfnLI0zPnN-GwkDvJdaOxXF

Nirupam Gupta

Nirupam Gupta is a scientist in the distributed computing laboratory (DCL) at the École polytechnique fédérale de Lausanne (EPFL), Switzerland. Prior to EPFL, he was a postdoc, and a teaching faculty at Georgetown University in Washington DC. Gupta's research work primarily focuses on (Byzantine) fault-tolerance, statistical privacy, and robustness in problems related to distributed machine learning, optimization, and cyber-physical systems. Gupta obtained his PhD in control systems from the University of Maryland (UMD) - College Park, in 2018, and his Bachelor's degree in electrical engineering from the Indian Institute of Technology (IIT) - Delhi, in 2013.