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Fault Tolerant Distributed Gradient Descent

Fault Tolerant Distributed Gradient Descent

FromData Skeptic


Fault Tolerant Distributed Gradient Descent

FromData Skeptic

ratings:
Length:
36 minutes
Released:
Feb 22, 2021
Format:
Podcast episode

Description

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.”   Works Mentioned:  https://arxiv.org/abs/2101.12316 Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent by Nirupam Gupta and Nitin H. Vaidya   Conference Details: https://georgetown.zoom.us/meeting/register/tJ0sc-2grDwjEtfnLI0zPnN-GwkDvJdaOxXF
Released:
Feb 22, 2021
Format:
Podcast episode

Titles in the series (100)

Data Skeptic is a data science podcast exploring machine learning, statistics, artificial intelligence, and other data topics through short tutorials and interviews with domain experts.