Saved in:
| Main Authors: | Lin, Ke, Glani, Yasir, Luo, Ping |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.18982 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Noiseless Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)
by: Biswas, Sayan, et al.
Published: (2024)
MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models
by: Wang, Tiantong, et al.
Published: (2026)
by: Wang, Tiantong, et al.
Published: (2026)
Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026)
by: Jin, Shan, et al.
Published: (2026)
D2M: A Decentralized, Privacy-Preserving, Incentive-Compatible Data Marketplace for Collaborative Learning
by: Srivastava, Yash, et al.
Published: (2025)
by: Srivastava, Yash, et al.
Published: (2025)
UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment
by: Lai, Shih-Yu, et al.
Published: (2026)
by: Lai, Shih-Yu, et al.
Published: (2026)
Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)
Automating Cloud Security and Forensics Through a Secure-by-Design Generative AI Framework
by: Alharthi, Dalal, et al.
Published: (2026)
by: Alharthi, Dalal, et al.
Published: (2026)
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning
by: Liu, Ji, et al.
Published: (2024)
by: Liu, Ji, et al.
Published: (2024)
Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise
by: Rodio, Angelo, et al.
Published: (2025)
by: Rodio, Angelo, et al.
Published: (2025)
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
Trustworthy Federated Learning: Privacy, Security, and Beyond
by: Chen, Chunlu, et al.
Published: (2024)
by: Chen, Chunlu, et al.
Published: (2024)
Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution
by: Panth, Prajwal, et al.
Published: (2026)
by: Panth, Prajwal, et al.
Published: (2026)
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
by: Wei, Wenqi, et al.
Published: (2024)
by: Wei, Wenqi, et al.
Published: (2024)
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
by: Yan, Bo, et al.
Published: (2023)
by: Yan, Bo, et al.
Published: (2023)
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
by: Yang, Hansi, et al.
Published: (2024)
by: Yang, Hansi, et al.
Published: (2024)
No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
by: Xing, Zhibo, et al.
Published: (2024)
by: Xing, Zhibo, et al.
Published: (2024)
Federated Survival Analysis with Node-Level Differential Privacy: Private Kaplan-Meier Curves
by: Veeraragavan, Narasimha Raghavan, et al.
Published: (2025)
by: Veeraragavan, Narasimha Raghavan, et al.
Published: (2025)
Exploring AI-Enabled Cybersecurity Frameworks: Deep-Learning Techniques, GPU Support, and Future Enhancements
by: Becher, Tobias, et al.
Published: (2024)
by: Becher, Tobias, et al.
Published: (2024)
Blockchain for Large Language Model Security and Safety: A Holistic Survey
by: Geren, Caleb, et al.
Published: (2024)
by: Geren, Caleb, et al.
Published: (2024)
Security Without Detection: Economic Denial as a Primitive for Edge and IoT Defense
by: Singh, Samaresh Kumar, et al.
Published: (2025)
by: Singh, Samaresh Kumar, et al.
Published: (2025)
Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
by: Ye, Haoxiang, et al.
Published: (2023)
by: Ye, Haoxiang, et al.
Published: (2023)
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
by: Lee, Younghan, et al.
Published: (2024)
by: Lee, Younghan, et al.
Published: (2024)
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
by: Hosain, Md. Tanzib, et al.
Published: (2025)
by: Hosain, Md. Tanzib, et al.
Published: (2025)
BAFFLE: A Baseline of Backpropagation-Free Federated Learning
by: Feng, Haozhe, et al.
Published: (2023)
by: Feng, Haozhe, et al.
Published: (2023)
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
by: Xu, Zhangchen, et al.
Published: (2024)
by: Xu, Zhangchen, et al.
Published: (2024)
Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation
by: Laskurain, Unai, et al.
Published: (2025)
by: Laskurain, Unai, et al.
Published: (2025)
FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Detect \& Score: Privacy-Preserving Misbehaviour Detection and Contribution Evaluation in Federated Learning
by: Xhemrishi, Marvin, et al.
Published: (2025)
by: Xhemrishi, Marvin, et al.
Published: (2025)
A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT
by: Mahmoud, Taha M., et al.
Published: (2025)
by: Mahmoud, Taha M., et al.
Published: (2025)
IntraShuffler: A Privacy Preserving Framework for Heterogeneous DP Federated Learning
by: Riya, Farhin Farhad, et al.
Published: (2026)
by: Riya, Farhin Farhad, et al.
Published: (2026)
Secure, Scalable and Privacy Aware Data Strategy in Cloud
by: Butte, Vijay Kumar, et al.
Published: (2025)
by: Butte, Vijay Kumar, et al.
Published: (2025)
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives
by: Wang, Linlin, et al.
Published: (2024)
by: Wang, Linlin, et al.
Published: (2024)
Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
by: Dong, Yi, et al.
Published: (2024)
by: Dong, Yi, et al.
Published: (2024)
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
by: Ozfatura, Kerem, et al.
Published: (2022)
by: Ozfatura, Kerem, et al.
Published: (2022)
Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics
by: Geng, Jiaxiang, et al.
Published: (2024)
by: Geng, Jiaxiang, et al.
Published: (2024)
Protecting Split Learning by Potential Energy Loss
by: Zheng, Fei, et al.
Published: (2022)
by: Zheng, Fei, et al.
Published: (2022)
Vertical Federated Learning: Concepts, Advances and Challenges
by: Liu, Yang, et al.
Published: (2022)
by: Liu, Yang, et al.
Published: (2022)
Similar Items
-
Noiseless Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024) -
MPU: Towards Secure and Privacy-Preserving Knowledge Unlearning for Large Language Models
by: Wang, Tiantong, et al.
Published: (2026) -
Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026) -
D2M: A Decentralized, Privacy-Preserving, Incentive-Compatible Data Marketplace for Collaborative Learning
by: Srivastava, Yash, et al.
Published: (2025) -
UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment
by: Lai, Shih-Yu, et al.
Published: (2026)