most citedLong-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning

3 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 1 cited

TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial Networks

Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo

Anomaly detection is widely used in network intrusion detection, autonomous driving, medical diagnosis, credit card frauds, etc. However, several key challenges remain open, such a…

cs.CR2022★ 3 cited

Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning

Ashish Gupta, Tie Luo, Mao V. Ngo +1

Federated learning offers a framework of training a machine learning model in a distributed fashion while preserving privacy of the participants. As the server cannot govern the cl…