Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhanwei, Huang, Kaibin, Eldar, Yonina C. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
by: Liu, Hang, et al.
Published: (2023)
by: Liu, Hang, et al.
Published: (2023)
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning
by: Varasteh, Morteza
Published: (2023)
by: Varasteh, Morteza
Published: (2023)
Quantum Key Distribution Secured Federated Learning for Channel Estimation and Radar Spectrum Sensing in 6G Networks
by: Catak, Ferhat Ozgur, et al.
Published: (2026)
by: Catak, Ferhat Ozgur, et al.
Published: (2026)
Private Collaborative Edge Inference via Over-the-Air Computation
by: Yilmaz, Selim F., et al.
Published: (2024)
by: Yilmaz, Selim F., et al.
Published: (2024)
Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance
by: Dong, Li, et al.
Published: (2024)
by: Dong, Li, et al.
Published: (2024)
On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning
by: Guleria, Arpit, et al.
Published: (2024)
by: Guleria, Arpit, et al.
Published: (2024)
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation
by: Xhemrishi, Marvin, et al.
Published: (2023)
by: Xhemrishi, Marvin, et al.
Published: (2023)
Joint Interference Detection and Identification via Adversarial Multi-task Learning
by: Xu, H., et al.
Published: (2026)
by: Xu, H., et al.
Published: (2026)
FedNC: A Secure and Efficient Federated Learning Method with Network Coding
by: Shi, Yuchen, et al.
Published: (2023)
by: Shi, Yuchen, et al.
Published: (2023)
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness
by: Salehi, Hojat Allah, et al.
Published: (2024)
by: Salehi, Hojat Allah, et al.
Published: (2024)
In-Application Defense Against Evasive Web Scans through Behavioral Analysis
by: Ousat, Behzad, et al.
Published: (2024)
by: Ousat, Behzad, et al.
Published: (2024)
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding
by: Pagnotta, Giulio, et al.
Published: (2022)
by: Pagnotta, Giulio, et al.
Published: (2022)
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments
by: Zhang, Xinwei, et al.
Published: (2022)
by: Zhang, Xinwei, et al.
Published: (2022)
Straggler-Resilient Differentially-Private Decentralized Learning
by: Yakimenka, Yauhen, et al.
Published: (2022)
by: Yakimenka, Yauhen, et al.
Published: (2022)
Machine Learning Predictors for Min-Entropy Estimation
by: Blanco-Romero, Javier, et al.
Published: (2024)
by: Blanco-Romero, Javier, et al.
Published: (2024)
An Efficient Difference-of-Convex Solver for Privacy Funnel
by: Huang, Teng-Hui, et al.
Published: (2024)
by: Huang, Teng-Hui, et al.
Published: (2024)
Over-the-Air Collaborative Inference with Feature Differential Privacy
by: Seif, Mohamed, et al.
Published: (2024)
by: Seif, Mohamed, et al.
Published: (2024)
Optimal Guarantees for Auditing Rényi Differentially Private Machine Learning
by: Kim, Benjamin D., et al.
Published: (2026)
by: Kim, Benjamin D., et al.
Published: (2026)
Cryptanalysis via Machine Learning Based Information Theoretic Metrics
by: Kim, Benjamin D., et al.
Published: (2025)
by: Kim, Benjamin D., et al.
Published: (2025)
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
by: Xie, Songjie, et al.
Published: (2024)
by: Xie, Songjie, et al.
Published: (2024)
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training
by: Huang, Alyssa, et al.
Published: (2023)
by: Huang, Alyssa, et al.
Published: (2023)
Towards Better Statistical Understanding of Watermarking LLMs
by: Cai, Zhongze, et al.
Published: (2024)
by: Cai, Zhongze, et al.
Published: (2024)
Distributional Information Embedding: A Framework for Multi-bit Watermarking
by: He, Haiyun, et al.
Published: (2025)
by: He, Haiyun, et al.
Published: (2025)
Diffusion-aided Task-oriented Semantic Communications with Model Inversion Attack
by: Wang, Xuesong, et al.
Published: (2025)
by: Wang, Xuesong, et al.
Published: (2025)
Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
by: He, Haiyun, et al.
Published: (2024)
by: He, Haiyun, et al.
Published: (2024)
$α$-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing
by: Asl, MirHamed Jafarzadeh, et al.
Published: (2023)
by: Asl, MirHamed Jafarzadeh, et al.
Published: (2023)
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy
by: Jin, Richeng, et al.
Published: (2023)
by: Jin, Richeng, et al.
Published: (2023)
Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity
by: Pour, Alireza F., et al.
Published: (2023)
by: Pour, Alireza F., et al.
Published: (2023)
The importance of feature preprocessing for differentially private linear optimization
by: Sun, Ziteng, et al.
Published: (2023)
by: Sun, Ziteng, et al.
Published: (2023)
Subset-Based Instance Optimality in Private Estimation
by: Dick, Travis, et al.
Published: (2023)
by: Dick, Travis, et al.
Published: (2023)
Training generative models from privatized data
by: Reshetova, Daria, et al.
Published: (2023)
by: Reshetova, Daria, et al.
Published: (2023)
Adversary-Aware Private Inference over Wireless Channels
by: Seif, Mohamed, et al.
Published: (2025)
by: Seif, Mohamed, et al.
Published: (2025)
Differentially Private Fair Binary Classifications
by: Ghoukasian, Hrad, et al.
Published: (2024)
by: Ghoukasian, Hrad, et al.
Published: (2024)
STAMP: Selective Task-Aware Mechanism for Text Privacy
by: Tian, Fengwei, et al.
Published: (2026)
by: Tian, Fengwei, et al.
Published: (2026)
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
by: Vithana, Sajani, et al.
Published: (2024)
by: Vithana, Sajani, et al.
Published: (2024)
Rao Differential Privacy
by: Soto, Carlos
Published: (2025)
by: Soto, Carlos
Published: (2025)
GeoClip: Geometry-Aware Clipping for Differentially Private SGD
by: Gilani, Atefeh, et al.
Published: (2025)
by: Gilani, Atefeh, et al.
Published: (2025)
Comparing privacy notions for protection against reconstruction attacks in machine learning
by: Biswas, Sayan, et al.
Published: (2025)
by: Biswas, Sayan, et al.
Published: (2025)
Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost
by: Pathegama, Madhura, et al.
Published: (2026)
by: Pathegama, Madhura, et al.
Published: (2026)
ScionFL: Efficient and Robust Secure Quantized Aggregation
by: Ben-Itzhak, Yaniv, et al.
Published: (2022)
by: Ben-Itzhak, Yaniv, et al.
Published: (2022)
Similar Items
-
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
by: Liu, Hang, et al.
Published: (2023) -
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning
by: Varasteh, Morteza
Published: (2023) -
Quantum Key Distribution Secured Federated Learning for Channel Estimation and Radar Spectrum Sensing in 6G Networks
by: Catak, Ferhat Ozgur, et al.
Published: (2026) -
Private Collaborative Edge Inference via Over-the-Air Computation
by: Yilmaz, Selim F., et al.
Published: (2024) -
Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance
by: Dong, Li, et al.
Published: (2024)