activity
20202023
most citedLVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

20 citations · 28 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2020

Byzantine Fault-Tolerant Distributed Machine Learning Using Stochastic Gradient Descent (SGD) and Norm-Based Comparative Gradient Elimination (CGE)

Nirupam Gupta, Shuo Liu, Nitin H. Vaidya

This paper considers the Byzantine fault-tolerance problem in distributed stochastic gradient descent (D-SGD) method - a popular algorithm for distributed multi-agent machine learn…