Saved in:
| Main Authors: | Liu, Zihan, Wang, Yizhen, Wang, Rui, Tang, Xiu, Wu, Sai |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.24468 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026)
by: Jin, Shan, et al.
Published: (2026)
Fine-Tuning Large Language Models with User-Level Differential Privacy
by: Charles, Zachary, et al.
Published: (2024)
by: Charles, Zachary, et al.
Published: (2024)
FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
by: Mia, Md Jueal, et al.
Published: (2025)
by: Mia, Md Jueal, et al.
Published: (2025)
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
by: Pham, Ngoc Duy, et al.
Published: (2022)
by: Pham, Ngoc Duy, et al.
Published: (2022)
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization
by: Kasarapu, Sreenitha, et al.
Published: (2024)
by: Kasarapu, Sreenitha, et al.
Published: (2024)
A Hitchhiker's Guide to Privacy-Preserving Digital Payment Systems: A Survey on Anonymity, Confidentiality, and Auditability
by: Nardelli, Matteo, et al.
Published: (2025)
by: Nardelli, Matteo, et al.
Published: (2025)
Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems
by: Sai, Siva, et al.
Published: (2025)
by: Sai, Siva, et al.
Published: (2025)
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
by: Mangala, N, et al.
Published: (2025)
by: Mangala, N, et al.
Published: (2025)
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
by: Madduri, Ravi, et al.
Published: (2024)
by: Madduri, Ravi, et al.
Published: (2024)
Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security
by: Kasarapu, Sreenitha, et al.
Published: (2024)
by: Kasarapu, Sreenitha, et al.
Published: (2024)
Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
by: Jiang, Siyang, et al.
Published: (2024)
by: Jiang, Siyang, et al.
Published: (2024)
HFIPay: Privacy-Preserving, Cross-Chain Cryptocurrency Payments to Human-Friendly Identifiers
by: Wang, Jian Sheng
Published: (2026)
by: Wang, Jian Sheng
Published: (2026)
PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks
by: Zhang, Hongliang, et al.
Published: (2025)
by: Zhang, Hongliang, et al.
Published: (2025)
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
by: Hong, Shu, et al.
Published: (2024)
by: Hong, Shu, et al.
Published: (2024)
SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy
by: Chen, Shuangyi, et al.
Published: (2024)
by: Chen, Shuangyi, et al.
Published: (2024)
HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
by: Chan, Yu Hin, et al.
Published: (2025)
by: Chan, Yu Hin, et al.
Published: (2025)
SecureSplit: Mitigating Backdoor Attacks in Split Learning
by: Dou, Zhihao, et al.
Published: (2026)
by: Dou, Zhihao, et al.
Published: (2026)
Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025)
by: Tanbhir, Gazi, et al.
Published: (2025)
Privacy-First Crowdsourcing: Blockchain and Local Differential Privacy in Crowdsourced Drone Services
by: Akram, Junaid, et al.
Published: (2024)
by: Akram, Junaid, et al.
Published: (2024)
On Fair Ordering and Differential Privacy
by: Cohen, Shir, et al.
Published: (2025)
by: Cohen, Shir, et al.
Published: (2025)
IslandRun: Privacy-Aware Multi-Objective Orchestration for Distributed AI Inference
by: Malepati, Bala Siva Sai Akhil
Published: (2025)
by: Malepati, Bala Siva Sai Akhil
Published: (2025)
Security Vulnerabilities in Quantum Cloud Systems: A Survey on Emerging Threats
by: Coupel, Justin, et al.
Published: (2025)
by: Coupel, Justin, et al.
Published: (2025)
DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
by: Han, Baofu, et al.
Published: (2025)
by: Han, Baofu, et al.
Published: (2025)
A Secure and Privacy-Friendly Logging Scheme
by: Aßmuth, Andreas, et al.
Published: (2024)
by: Aßmuth, Andreas, et al.
Published: (2024)
PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems
by: Sun, Wei, et al.
Published: (2026)
by: Sun, Wei, et al.
Published: (2026)
InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference
by: Deng, Ruijun, et al.
Published: (2025)
by: Deng, Ruijun, et al.
Published: (2025)
A Comprehensive Survey on Green Blockchain: Developing the Next Generation of Energy Efficient and Sustainable Blockchain Systems
by: Fernández-Caramés, Tiago M., et al.
Published: (2024)
by: Fernández-Caramés, Tiago M., et al.
Published: (2024)
Securing AI Agents in Cyber-Physical Systems: A Survey of Environmental Interactions, Deepfake Threats, and Defenses
by: Hatami, Mohsen, et al.
Published: (2026)
by: Hatami, Mohsen, et al.
Published: (2026)
PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy
by: Zhang, Xianzhi, et al.
Published: (2024)
by: Zhang, Xianzhi, et al.
Published: (2024)
Homomorphic Encryption in Healthcare Industry Applications for Protecting Data Privacy
by: Rauthan, J. S.
Published: (2025)
by: Rauthan, J. S.
Published: (2025)
Head Count: Privacy-Preserving Face-Based Crowd Monitoring
by: Marzani, Fatemeh, et al.
Published: (2026)
by: Marzani, Fatemeh, et al.
Published: (2026)
DeZent: Decentralized z-Anonymity with Privacy-Preserving Coordination
by: Brunn, Carolin, et al.
Published: (2026)
by: Brunn, Carolin, et al.
Published: (2026)
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
by: Zhao, Zhihui, et al.
Published: (2025)
by: Zhao, Zhihui, et al.
Published: (2025)
ZK-ACE: Identity-Centric Zero-Knowledge Authorization for Post-Quantum Blockchain Systems
by: Wang, Jian Sheng
Published: (2026)
by: Wang, Jian Sheng
Published: (2026)
Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
by: Sarraf, Gaurav, et al.
Published: (2026)
by: Sarraf, Gaurav, et al.
Published: (2026)
An Adaptive Differential Privacy Method Based on Federated Learning
by: Wang, Zhiqiang, et al.
Published: (2024)
by: Wang, Zhiqiang, et al.
Published: (2024)
Survey on Quality Assurance of Smart Contracts
by: Wei, Zhiyuan, et al.
Published: (2023)
by: Wei, Zhiyuan, et al.
Published: (2023)
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)
Comments on "Federated Learning with Differential Privacy: Algorithms and Performance Analysis"
by: Talaei, Mahtab, et al.
Published: (2024)
by: Talaei, Mahtab, et al.
Published: (2024)
Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach
by: Quan, Yueyang, et al.
Published: (2025)
by: Quan, Yueyang, et al.
Published: (2025)
Similar Items
-
Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026) -
Fine-Tuning Large Language Models with User-Level Differential Privacy
by: Charles, Zachary, et al.
Published: (2024) -
FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
by: Mia, Md Jueal, et al.
Published: (2025) -
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
by: Pham, Ngoc Duy, et al.
Published: (2022) -
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization
by: Kasarapu, Sreenitha, et al.
Published: (2024)