Copertina

Federated Learning for Cyber Physical Systems: A Comprehensive Survey

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Quan, Minh K., Pathirana, Pubudu N., Wijayasundara, Mayuri, Setunge, Sujeeva, Nguyen, Dinh C., Brinton, Christopher G., Love, David J., Poor, H. Vincent
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Cryptography and Security Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing
di: Quan, Minh K., et al.
Pubblicazione: (2024)

Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
di: Hossain, Md Tamjid, et al.
Pubblicazione: (2022)

When Quantum Federated Learning Meets Blockchain in 6G Networks
di: Nguyen, Dinh C., et al.
Pubblicazione: (2025)

Securing AI Agents in Cyber-Physical Systems: A Survey of Environmental Interactions, Deepfake Threats, and Defenses
di: Hatami, Mohsen, et al.
Pubblicazione: (2026)

Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends
di: Li, Kai, et al.
Pubblicazione: (2025)

Differentially-Private Multi-Tier Federated Learning
di: Chen, Evan, et al.
Pubblicazione: (2024)

Service Level Agreements and Security SLA: A Comprehensive Survey
di: Nicolazzo, Serena, et al.
Pubblicazione: (2024)

Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts
di: Khoa, Tran Viet, et al.
Pubblicazione: (2023)

Private Knowledge Sharing in Distributed Learning: A Survey
di: Supeksala, Yasas, et al.
Pubblicazione: (2024)

FedCert: Federated Accuracy Certification
di: Nguyen, Minh Hieu, et al.
Pubblicazione: (2024)

A Comprehensive Survey on Green Blockchain: Developing the Next Generation of Energy Efficient and Sustainable Blockchain Systems
di: Fernández-Caramés, Tiago M., et al.
Pubblicazione: (2024)

Drawing the boundaries between Blockchain and Blockchain-like systems: A Comprehensive Survey on Distributed Ledger Technologies
di: Bellaj, Badr, et al.
Pubblicazione: (2024)

A Hierarchical Security Events Correlation Model for Real-time Cyber Threat Detection and Response
di: Maosa, Herbert, et al.
Pubblicazione: (2023)

Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing
di: Moore, Ervin, et al.
Pubblicazione: (2024)

Blockchain Communication Vulnerabilities
di: Lebedev, Andrei, et al.
Pubblicazione: (2026)

Digital Guardians: The Past and The Future of Cyber-Physical Resilience
di: Bagchi, Saurabh, et al.
Pubblicazione: (2026)

StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting
di: Quan, Minh K., et al.
Pubblicazione: (2026)

SeSeMI: Secure Serverless Model Inference on Sensitive Data
di: Hu, Guoyu, et al.
Pubblicazione: (2024)

Survey on Quality Assurance of Smart Contracts
di: Wei, Zhiyuan, et al.
Pubblicazione: (2023)

Lightweight Federated Learning with Differential Privacy and Straggler Resilience
di: Hong, Shu, et al.
Pubblicazione: (2024)

Enforcing Attestable Workflows across Untrusted Networks
di: Dang, Hung, et al.
Pubblicazione: (2026)

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
di: Zhao, Zhihui, et al.
Pubblicazione: (2025)

Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
di: Boitier, William, et al.
Pubblicazione: (2024)

Communication-Efficient and Differentially Private Vertical Federated Learning with Zeroth-Order Optimization
di: Zhang, Jianing, et al.
Pubblicazione: (2025)

Unsealing the secrets of blockchain consensus: A systematic comparison of the formal security of proof-of-work and proof-of-stake
di: Álvarez, Iván Abellán, et al.
Pubblicazione: (2024)

A Survey on Decentralized Federated Learning
di: Gabrielli, Edoardo, et al.
Pubblicazione: (2023)

Prisec II -- A Comprehensive Model for IoT Security: Cryptographic Algorithms and Cloud Integration
di: Costa, Pedro, et al.
Pubblicazione: (2024)

SoK: A Survey of Mixing Techniques and Mixers for Cryptocurrencies
di: Mariani, Juraj, et al.
Pubblicazione: (2025)

A Survey of Recent Advancements in Secure Peer-to-Peer Networks
di: Patel, Raj, et al.
Pubblicazione: (2025)

DarkFed: A Data-Free Backdoor Attack in Federated Learning
di: Li, Minghui, et al.
Pubblicazione: (2024)

SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation
di: Wen, Tian, et al.
Pubblicazione: (2025)

Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
di: Fu, Tianxing, et al.
Pubblicazione: (2025)

Large language models in 6G security: challenges and opportunities
di: Nguyen, Tri, et al.
Pubblicazione: (2024)

Security Vulnerabilities in Quantum Cloud Systems: A Survey on Emerging Threats
di: Coupel, Justin, et al.
Pubblicazione: (2025)

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
di: Tanbhir, Gazi, et al.
Pubblicazione: (2025)

Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
di: Sarraf, Gaurav, et al.
Pubblicazione: (2026)

HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning
di: Tang, Jiaxang, et al.
Pubblicazione: (2024)

CHRONOS: A Hardware-Assisted Phase-Decoupled Framework for Secure Federated Learning in IoT
di: Dang, Hung
Pubblicazione: (2026)

A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks
di: Wu, Wenbo, et al.
Pubblicazione: (2024)

Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
di: Madduri, Ravi, et al.
Pubblicazione: (2024)