3 papers
cs.LG2021
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
Vinay Chakravarthi Gogineni, Stefan Werner, Yih-Fang Huang +1
Federated learning (FL) literature typically assumes that each client has a fixed amount of data, which is unrealistic in many practical applications. Some recent works introduced…
cs.IT2018
Model Approximation Using Cascade of Tree Decompositions
Navid Tafaghodi Khajavi, Anthony Kuh
In this paper, we present a general, multistage framework for graphical model approximation using a cascade of models such as trees. In particular, we look at the problem of covari…
cs.GT2018
How Consumer Empathy Assist Power Grid in Demand Response
Mojtaba Abolfazli, June Zhang, Anthony Kuh
This paper investigates interaction among residential electricity users and utility company in a distribution network with the capability of two-way communication provided by smart…