research
∙
05/26/2023
A Framework for Incentivized Collaborative Learning
Collaborations among various entities, such as companies, research labs,...
share
research
∙
04/15/2023
PI-FL: Personalized and Incentivized Federated Learning
Personalized FL has been widely used to cater to heterogeneity challenge...
research
∙
12/17/2022
Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders
Recommender Systems (RSs) have become increasingly important in many app...
research
∙
10/11/2022
New infinite families of near MDS codes holding t-designs and optimal locally recoverable codes
Linear codes with parameters [n,k,n-k] are called almost maximum distanc...
research
∙
10/11/2022
Constructions of cyclic codes and extended primitive cyclic codes with their applications
Linear codes with a few weights have many nice applications including co...
research
∙
04/22/2022
A Data-Efficient Model-Based Learning Framework for the Closed-Loop Control of Continuum Robots
Traditional dynamic models of continuum robots are in general computatio...
research
∙
09/13/2020
Information Laundering for Model Privacy
In this work, we propose information laundering, a novel framework for e...
research
∙
08/30/2020
Imitation Privacy
In recent years, there have been many cloud-based machine learning servi...
research
∙
04/01/2020
Assisted Learning and Imitation Privacy
Motivated by the emerging needs of decentralized learners with personali...
research
∙
10/01/2018
