research
∙
07/28/2022
Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities
Internet of Underwater Things (IoUT) have gained rapid momentum over the...
share
research
∙
02/17/2022
Delay-adaptive step-sizes for asynchronous learning
In scalable machine learning systems, model training is often paralleliz...
research
∙
02/18/2021
On the Convergence of Step Decay Step-Size for Stochastic Optimization
The convergence of stochastic gradient descent is highly dependent on th...
research
∙
03/23/2020
The Internet of Things as a Deep Neural Network
An important task in the Internet of Things (IoT) is field monitoring, w...
research
∙
03/13/2020
Communication Efficient Sparsification for Large Scale Machine Learning
The increasing scale of distributed learning problems necessitates the d...
research
∙
03/10/2020
Communication-efficient Variance-reduced Stochastic Gradient Descent
We consider the problem of communication efficient distributed optimizat...
research
∙
02/26/2019
