Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations-Reference-Cited by-同舟云学术

Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations

Published:2022-09-27 Issue: Volume: Page:
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Container-title:2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
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Author:

Liao Jialing¹,Chen Zheng¹,Larsson Erik G.¹

Affiliation:

1. Linköping University,Department of Electrical Engineering (ISY),Linköping,Sweden

Publisher

IEEE

Link

Reference29 articles.

1. Attack-resistant federated learning with residual-based reweighting;fu;ArXiv Preprint,2019

3. Privacy-preserving deep learning via additively homomorphic encryption;aono;IEEE Transactions on Information Forensics and Security,2017

5. Fetchsgd: Communication-efficient federated learning with sketching;rothchild;International Conference on Machine Learning,0

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2. NeuronDP: Neuron-grained Differential Privacy of Deep Neural Networks in Edge-based Federated Learning;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

5. Detecting Active Attacks in Over-the-Air Computation using Dummy Samples;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29