activity
20182022
most citedFedCorr: Multi-Stage Federated Learning for Label Noise Correction

10 citations · 17 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG202210 cited

FedCorr: Multi-Stage Federated Learning for Label Noise Correction

Jingyi Xu, Zihan Chen, Tony Q. S. Quek +1

Federated learning (FL) is a privacy-preserving distributed learning paradigm that enables clients to jointly train a global model. In real-world FL implementations, client data co…

cs.LG20212 cited

Dynamic Attention-based Communication-Efficient Federated Learning

Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek

Federated learning (FL) offers a solution to train a global machine learning model while still maintaining data privacy, without needing access to data stored locally at the client…

cs.IR20215 cited

Sentiment Analysis of the COVID-related r/Depression Posts

Zihan Chen, Marina Sokolova

Reddit.com is a popular social media platform among young people. Reddit users share their stories to seek support from other users, especially during the Covid-19 pandemic. Messag…

math.OC2021

Convergence Properties of the Distributed Projected Subgradient Algorithm over General Graphs

Weijian Li, Zihan Chen, Youcheng Lou +1

In this paper, we revisit a well-known distributed projected subgradient algorithm which aims to minimize a sum of cost functions with a common set constraint. In contrast to most…

cs.SI2018

Dynamics of Opinions with Social Biases

Zihan Chen, Jiahu Qin, Bo Li +3

This paper aims to provide a systemic analysis to social opinion dynamics subject to individual biases. As a generalization of the classical DeGroot social interactions, defined by…