Private Wireless Federated Learning with Anonymous Over-the-Air Computation
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Abstract (arXiv)
In conventional federated learning (FL), differential privacy (DP) guarantees can be obtained by injecting additional noise to local model updates before transmitting to the parameter server (PS). In the wireless FL scenario, we show that the privacy of the system can be boosted by exploiting over-the-air computation (OAC) and anonymizing the transmitting devices. In OAC, devices transmit their model updates simultaneously and in an uncoded fashion, resulting in a much more efficient use of the available spectrum. We further exploit OAC to provide anonymity for the transmitting devices. The proposed approach improves the performance of private wireless FL by reducing the amount of noise that must be injected.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Nov 2020.
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Citing papers per year: 2021: 3; 2022: 5; 2023: 4; 2024: 3; 2025: 0; 2026: 1.
16 papers.
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- 2021Distributed Learning in Wireless Networks: Recent Progress and Future Challengescited by 125
- 2021Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregationcited by 22
- 2023Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directionscited by 21
- 2022Semi-Decentralized Federated Learning with Collaborative Relayingcited by 16
- 2022Over-the-Air Ensemble Inference with Model Privacycited by 9
- 2022Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relayingcited by 5
- 2022Differentially Private Federated Learning via Reconfigurable Intelligent Surfacecited by 5
- 2022Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbationscited by 5
- 2023Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channelscited by 5
- 2024Private Collaborative Edge Inference via Over-the-Air Computationcited by 4
- 2024Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networkscited by 2
- 2021Over-the-Air Federated Learning with Retransmissions (Extended Version)cited by 1
4 more
- 2023AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learningcited by 1
- 2023Differentially Private Wireless Federated Learning Using Orthogonal Sequencescited by 1
- 2024Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Frameworkcited by 0
- 2026When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergencecited by 0
- 2026When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergence19 Mar 2026
- 2024Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework5 Dec 2024
- 2024Private Collaborative Edge Inference via Over-the-Air Computation30 Jul 2024
- 2024Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks6 Jun 2024
- 2023Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions3 Jul 2023
- 2023Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels19 Jun 2023
- 2023Differentially Private Wireless Federated Learning Using Orthogonal Sequences14 Jun 2023
- 2023AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning12 Jun 2023
- 2022Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations5 Oct 2022
- 2022Semi-Decentralized Federated Learning with Collaborative Relaying23 May 2022
- 2022Differentially Private Federated Learning via Reconfigurable Intelligent Surface31 Mar 2022
- 2022Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying24 Feb 2022
4 more
- 2022Over-the-Air Ensemble Inference with Model Privacy7 Feb 2022
- 2021Over-the-Air Federated Learning with Retransmissions (Extended Version)19 Nov 2021
- 2021Distributed Learning in Wireless Networks: Recent Progress and Future Challenges5 Apr 2021
- 2021Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation2 Mar 2021
- 2021Distributed Learning in Wireless Networks: Recent Progress and Future Challengescited by 125
- 2021Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregationcited by 22
- 2023Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directionscited by 21
- 2022Semi-Decentralized Federated Learning with Collaborative Relayingcited by 16
- 2022Over-the-Air Ensemble Inference with Model Privacycited by 9
- 2022Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relayingcited by 5
- 2022Differentially Private Federated Learning via Reconfigurable Intelligent Surfacecited by 5
- 2022Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbationscited by 5
- 2023Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channelscited by 5
- 2024Private Collaborative Edge Inference via Over-the-Air Computationcited by 4
- 2024Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networkscited by 2
- 2021Over-the-Air Federated Learning with Retransmissions (Extended Version)cited by 1
12 most cited of 16 All 16 (JSON)
- 2026When Differential Privacy Meets Wireless Federated Learning: An Improved Analysis for Privacy and Convergence19 Mar 2026
- 2024Providing Differential Privacy for Federated Learning Over Wireless: A Cross-layer Framework5 Dec 2024
- 2024Private Collaborative Edge Inference via Over-the-Air Computation30 Jul 2024
- 2024Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks6 Jun 2024
- 2023Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions3 Jul 2023
- 2023Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels19 Jun 2023
- 2023Differentially Private Wireless Federated Learning Using Orthogonal Sequences14 Jun 2023
- 2023AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning12 Jun 2023
- 2022Over-the-Air Federated Learning with Privacy Protection via Correlated Additive Perturbations5 Oct 2022
- 2022Semi-Decentralized Federated Learning with Collaborative Relaying23 May 2022
- 2022Differentially Private Federated Learning via Reconfigurable Intelligent Surface31 Mar 2022
- 2022Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying24 Feb 2022
12 newest of 16 All 16 (JSON)