A review on client-server attacks and defenses in federated learning-Reference-Cited by-同舟云学术

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A review on client-server attacks and defenses in federated learning

Published:2024-05 Issue: Volume:140 Page:103801
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Sharma Anee^ORCID,Marchang Ningrinla

Publisher

Elsevier BV

Reference147 articles.

1. Sniper backdoor: single client targeted backdoor attack in federated learning;Abad,2023

2. Deep learning with differential privacy;Abadi,2016

3. I have a dream!(differentially private smart metering);Ács,2011

4. Genetic CFL: hyperparameter optimization in clustered FL;Agrawal;Comput. Intell. Neurosci.,2021

5. BaFFLe: backdoor detection via feedback-based FL;Andreina,2021

Cited by 2 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

1. Analysis of Federated Learning Paradigm in Medical Domain: Taking COVID-19 as an Application Use Case;Applied Sciences;2024-05-11

2. A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward;IEEE Access;2024

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