Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks

23 August 2023

Papers citing "Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks"

2 / 2 papers shown

Title
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Zhengming Zhang Yaoqing Yang Z. Yao Yujun Yan Joseph E. Gonzalez Michael W. Mahoney FedML 25 36 0 26 Aug 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 174 1,014 0 29 Nov 2018