research
∙
09/04/2023
Smoothing ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties
This paper investigates quantile regression in the presence of non-conve...
share
research
∙
06/10/2023
Personalized Graph Federated Learning with Differential Privacy
This paper presents a personalized graph federated learning (PGFL) frame...
research
∙
03/27/2023
Asynchronous Online Federated Learning with Reduced Communication Requirements
Online federated learning (FL) enables geographically distributed device...
research
∙
11/27/2021
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression
Many assumptions in the federated learning literature present a best-cas...
research
∙
10/13/2021
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
Federated learning (FL) literature typically assumes that each client ha...
research
∙
03/17/2017
Algorithm/Architecture Co-design of Proportionate-type LMS Adaptive Filters for Sparse System Identification
This paper investigates the problem of implementing proportionate-type L...
research
∙
07/29/2015
