623 citations · 1.1k across the 16 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CR2020★ 7 cited
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT
J. Li, L. Lyu, X. Liu +2
The distributed denial of service (DDoS) attack is detrimental to the industrial Internet of things (IIoT) as it triggers severe resource starvation on networked objects. Recent dy…
cs.LG2020★ 40 cited
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Xinyi Xu, Lingjuan Lyu
Federated learning (FL) is an emerging practical framework for effective and scalable machine learning among multiple participants, such as end users, organizations and companies.…
cs.CR2020★ 41 cited
FederBoost: Private Federated Learning for GBDT
Zhihua Tian, Rui Zhang, Xiaoyang Hou +4
Federated Learning (FL) has been an emerging trend in machine learning and artificial intelligence. It allows multiple participants to collaboratively train a better global model a…