FDSFL: Filtering Defense Strategies toward Targeted Poisoning Attacks in IIoT-Based Federated Learning Networking System

Author:

Xiao Xiong1,Tang Zhuo1,Yang Li1,Song Yingjie1,Tan Jiawei1,Li Kenli1

Affiliation:

1. Hunan University,China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference15 articles.

1. The Limitations of Federated Learning in Sybil Settings;fung;Proc RAID,0

2. Machine Learning With Adversaries: Byzantine Tolerant Gradient Descent;blanchard;Proc NeurlPS 2017,0

3. Local Model Poisoning Attacks to Byzantine-Robust Federated Learning;fang;Proc Usenix Security,2020

4. FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

5. SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System

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