Search Results for author: Guangdong Bai

Found 6 papers, 2 papers with code

AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification

no code implementations13 Nov 2023 Zirui Gong, Liyue Shen, Yanjun Zhang, Leo Yu Zhang, Jingwei Wang, Guangdong Bai, Yong Xiang

By equipping AGRAMPLIFIER with the existing Byzantine-robust mechanisms, we successfully enhance the model's robustness, maintaining its fidelity and improving overall efficiency.

Federated Learning

Supervised Robustness-preserving Data-free Neural Network Pruning

1 code implementation2 Apr 2022 Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Jin Song Dong

This may be unrealistic in practice, as the data controllers are often reluctant to provide their model consumers with the original data.

Network Pruning Stochastic Optimization

TwiInsight: Discovering Topics and Sentiments from Social Media Datasets

no code implementations23 May 2017 Zhengkui Wang, Guangdong Bai, Soumyadeb Chowdhury, Quanqing Xu, Zhi Lin Seow

Social media platforms contain a great wealth of information which provides opportunities for us to explore hidden patterns or unknown correlations, and understand people's satisfaction with what they are discussing.

Sentiment Analysis

Cannot find the paper you are looking for? You can Submit a new open access paper.