FLForest: Byzantine-robust Federated Learning through Isolated Forest-Reference-Cited by-同舟云学术

FLForest: Byzantine-robust Federated Learning through Isolated Forest

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS)
language:
Short-container-title:

Author:

Wang Tao¹,Zhao Bo¹,Fang Liming²

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,Nanjing,China

2. Nanjing University of Aeronautics and Astronautics Shenzhen Research Institute,Shenzhen,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

IEEE

Link

Reference30 articles.

1. Can you really backdoor federated learning?;sun;CoRR,2019

2. The hidden vulnerability of distributed learning in byzantium;guerraoui;International Conference on Machine Learning,2018

4. Byzantine-robust distributed learning: Towards optimal statistical rates;yin;International Conference on Machine Learning,2018

5. How to backdoor federated learning;bagdasaryan;International Conference on Artificial Intelligence and Statistics,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Federated Anomaly Detection with Isolation Forest for IoT Network Traffics;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17