FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning-Reference-Cited by-同舟云学术

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FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:2023 33rd International Conference on Field-Programmable Logic and Applications (FPL)
language:
Short-container-title:

Author:

Li Huimin¹,Rieger Phillip²,Zeitouni Shaza²,Picek Stjepan³,Sadeghi Ahmad-Reza²

Affiliation:

1. Delft University of Technology,The Netherlands

2. Technische Universität Darmstadt,Germany

3. Radboud University,The Netherlands

Funder

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296174/10296123/10296389.pdf?arnumber=10296389

Reference42 articles.

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

2. Mitigating Electrical-level Attacks towards Secure Multi-Tenant FPGAs in the Cloud

3. Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning

4. BaFFLe: Backdoor Detection via Feedback-based Federated Learning

5. SAFELearn: Secure Aggregation for private FEderated Learning

Cited by 1 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. Hardware Support for Trustworthy Machine Learning: A Survey;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

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