High-quality machine learning models are dependent on access to high-qua...
Joint multimodal functional data acquisition, where functional data from...
Stochastic gradient-based optimization methods, such as L-SVRG and its
a...
In federated learning (FL) problems, client sampling plays a key role in...
Undirected graphical models have been widely used to model the condition...
We study the optimization aspects of personalized Federated Learning (FL...
We consider the problem of estimating the difference between two functio...
We consider the problem of estimating the difference between two functio...