most citedDearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 3 cited

DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning

Chenghao Huang, Weilong Chen, Yuxi Chen +2

In federated learning (FL), model aggregation has been widely adopted for data privacy. In recent years, assigning different weights to local models has been used to alleviate the…

cs.CL2020

MeisterMorxrc at SemEval-2020 Task 9: Fine-Tune Bert and Multitask Learning for Sentiment Analysis of Code-Mixed Tweets

Qi Wu, Peng Wang, Chenghao Huang

Natural language processing (NLP) has been applied to various fields including text classification and sentiment analysis. In the shared task of sentiment analysis of code-mixed tw…