A Systematic Survey of Blockchained Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhilin, Hu, Qin, Xu, Minghui, Zhuang, Yan, Wang, Yawei, Cheng, Xiuzhen |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
by: Gong, Jianghao, et al.
Published: (2024)
by: Gong, Jianghao, et al.
Published: (2024)
The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Survey
by: Liu, Tianxu, et al.
Published: (2024)
by: Liu, Tianxu, et al.
Published: (2024)
We Urgently Need Privilege Management in MCP: A Measurement of API Usage in MCP Ecosystems
by: Li, Zhihao, et al.
Published: (2025)
by: Li, Zhihao, et al.
Published: (2025)
FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning
by: Carney, Jane, et al.
Published: (2025)
by: Carney, Jane, et al.
Published: (2025)
BF-Meta: Secure Blockchain-enhanced Privacy-preserving Federated Learning for Metaverse
by: Liu, Wenbo, et al.
Published: (2024)
by: Liu, Wenbo, et al.
Published: (2024)
TxRay: Agentic Postmortem of Live Blockchain Attacks
by: Wang, Ziyue, et al.
Published: (2026)
by: Wang, Ziyue, et al.
Published: (2026)
The Role of Federated Learning in Improving Financial Security: A Survey
by: Kennedy, Cade Houston, et al.
Published: (2025)
by: Kennedy, Cade Houston, et al.
Published: (2025)
EC-Chain: Cost-Effective Storage Solution for Permissionless Blockchains
by: Xu, Minghui, et al.
Published: (2024)
by: Xu, Minghui, et al.
Published: (2024)
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning
by: Sun, Rui, et al.
Published: (2024)
by: Sun, Rui, et al.
Published: (2024)
A Survey on Blockchain-based Supply Chain Finance with Progress and Future directions
by: Luo, Zhengdong
Published: (2024)
by: Luo, Zhengdong
Published: (2024)
BlockFUL: Enabling Unlearning in Blockchained Federated Learning
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
Privacy-Preserving in Blockchain-based Federated Learning Systems
by: M., Sameera K., et al.
Published: (2024)
by: M., Sameera K., et al.
Published: (2024)
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV
by: korba, Abdelaziz Amara, et al.
Published: (2024)
by: korba, Abdelaziz Amara, et al.
Published: (2024)
Deep Learning-based Intrusion Detection Systems: A Survey
by: Xu, Zhiwei, et al.
Published: (2025)
by: Xu, Zhiwei, et al.
Published: (2025)
Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review
by: ElZemity, Adel, et al.
Published: (2024)
by: ElZemity, Adel, et al.
Published: (2024)
Decentralized Federated Learning: A Survey on Security and Privacy
by: Hallaji, Ehsan, et al.
Published: (2024)
by: Hallaji, Ehsan, et al.
Published: (2024)
Examining Attacks on Consensus and Incentive Systems in Proof-of-Work Blockchains: A Systematic Literature Review
by: Wijewardhana, Dinitha, et al.
Published: (2024)
by: Wijewardhana, Dinitha, et al.
Published: (2024)
SoK: On Gradient Leakage in Federated Learning
by: Du, Jiacheng, et al.
Published: (2024)
by: Du, Jiacheng, et al.
Published: (2024)
Secure and Efficient Federated Learning Through Layering and Sharding Blockchain
by: Yuan, Shuo, et al.
Published: (2021)
by: Yuan, Shuo, et al.
Published: (2021)
Resilient Federated Chain: Transforming Blockchain Consensus into an Active Defense Layer for Federated Learning
by: García-Márquez, Mario, et al.
Published: (2026)
by: García-Márquez, Mario, et al.
Published: (2026)
Blockchain Data Analysis in the Era of Large-Language Models
by: Toyoda, Kentaroh, et al.
Published: (2024)
by: Toyoda, Kentaroh, et al.
Published: (2024)
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
by: Chaudhary, Devashish, et al.
Published: (2025)
by: Chaudhary, Devashish, et al.
Published: (2025)
MARS: A Malignity-Aware Backdoor Defense in Federated Learning
by: Wan, Wei, et al.
Published: (2025)
by: Wan, Wei, et al.
Published: (2025)
Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate
by: Qi, Senmao, et al.
Published: (2025)
by: Qi, Senmao, et al.
Published: (2025)
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
by: Hu, Yuke, et al.
Published: (2023)
by: Hu, Yuke, et al.
Published: (2023)
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
by: Han, Shanshan, et al.
Published: (2023)
by: Han, Shanshan, et al.
Published: (2023)
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
by: Hallaji, Ehsan, et al.
Published: (2025)
by: Hallaji, Ehsan, et al.
Published: (2025)
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning
by: Wang, Zhibo, et al.
Published: (2024)
by: Wang, Zhibo, et al.
Published: (2024)
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
by: Guo, Pengxin, et al.
Published: (2025)
by: Guo, Pengxin, et al.
Published: (2025)
Repurposing Backdoors for Good: Ephemeral Intrinsic Proofs for Verifiable Aggregation in Cross-silo Federated Learning
by: Qin, Xian, et al.
Published: (2026)
by: Qin, Xian, et al.
Published: (2026)
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
by: Shi, Yichuan, et al.
Published: (2024)
by: Shi, Yichuan, et al.
Published: (2024)
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
by: Wang, Lingxiang, et al.
Published: (2025)
by: Wang, Lingxiang, et al.
Published: (2025)
DataSafe: Copyright Protection with PUF Watermarking and Blockchain Tracking
by: Xue, Xiaolong, et al.
Published: (2024)
by: Xue, Xiaolong, et al.
Published: (2024)
You Can Backdoor Personalized Federated Learning
by: Ye, Tiandi, et al.
Published: (2023)
by: Ye, Tiandi, et al.
Published: (2023)
Large Language Models for Cyber Security: A Systematic Literature Review
by: Xu, Hanxiang, et al.
Published: (2024)
by: Xu, Hanxiang, et al.
Published: (2024)
A Trustworthy AIoT-enabled Localization System via Federated Learning and Blockchain
by: Wang, Junfei, et al.
Published: (2024)
by: Wang, Junfei, et al.
Published: (2024)
SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning
by: Xu, Weida, et al.
Published: (2024)
by: Xu, Weida, et al.
Published: (2024)
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective
by: Wang, Zifan, et al.
Published: (2024)
by: Wang, Zifan, et al.
Published: (2024)
Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives
by: Zeng, Wenxuan, et al.
Published: (2025)
by: Zeng, Wenxuan, et al.
Published: (2025)
Similar Items
-
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model
by: Li, Yang, et al.
Published: (2024) -
Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
by: Gong, Jianghao, et al.
Published: (2024) -
The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Survey
by: Liu, Tianxu, et al.
Published: (2024) -
We Urgently Need Privilege Management in MCP: A Measurement of API Usage in MCP Ecosystems
by: Li, Zhihao, et al.
Published: (2025) -
FIDELIS: Blockchain-Enabled Protection Against Poisoning Attacks in Federated Learning
by: Carney, Jane, et al.
Published: (2025)