{"total":30,"rows":[{"id":"2110.02182","title":"A Systematic Survey of Blockchained Federated Learning","created":"2021-10-05","cited_by_count":15,"area":null},{"id":"2209.04418","title":"Trustworthy Federated Learning via Blockchain","created":"2022-08-13","cited_by_count":15,"area":null},{"id":"2301.04006","title":"IronForge: An Open, Secure, Fair, Decentralized Federated Learning","created":"2023-01-07","cited_by_count":15,"area":null},{"id":"2309.11039","title":"Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems","created":"2023-09-20","cited_by_count":15,"area":null},{"id":"2101.03300","title":"Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus","created":"2021-01-09","cited_by_count":14,"area":null},{"id":"2107.05252","title":"OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning","created":"2021-07-12","cited_by_count":9,"area":null},{"id":"2209.09775","title":"FedToken: Tokenized Incentives for Data Contribution in Federated Learning","created":"2022-09-20","cited_by_count":9,"area":null},{"id":"2306.04984","title":"G$^2$uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering","created":"2023-06-08","cited_by_count":9,"area":null},{"id":"2403.19178","title":"Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning","created":"2024-03-28","cited_by_count":9,"area":null},{"id":"2307.00543","title":"Defending Against Poisoning Attacks in Federated Learning with Blockchain","created":"2023-07-02","cited_by_count":8,"area":null},{"id":"2205.05611","title":"Blockchain-based Secure Client Selection in Federated Learning","created":"2022-05-11","cited_by_count":5,"area":null},{"id":"2402.00205","title":"Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data","created":"2024-01-31","cited_by_count":5,"area":null},{"id":"2403.00873","title":"Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions","created":"2024-03-01","cited_by_count":5,"area":null},{"id":"2206.12899","title":"FAIR-BFL: Flexible and Incentive Redesign for Blockchain-based Federated Learning","created":"2022-06-26","cited_by_count":4,"area":null},{"id":"2306.10841","title":"Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification","created":"2023-06-19","cited_by_count":4,"area":null},{"id":"2312.04688","title":"Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights","created":"2023-12-07","cited_by_count":4,"area":null},{"id":"2303.13727","title":"A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing","created":"2023-03-24","cited_by_count":3,"area":null},{"id":"2112.07938","title":"Analysis and Evaluation of Synchronous and Asynchronous FLchain","created":"2021-12-15","cited_by_count":2,"area":null},{"id":"2303.12944","title":"Use of Federated Learning and Blockchain towards Securing Financial Services","created":"2023-02-04","cited_by_count":2,"area":null},{"id":"2405.00556","title":"Swarm Learning: A Survey of Concepts, Applications, and Trends","created":"2024-05-01","cited_by_count":2,"area":null},{"id":"2407.02461","title":"Decentralized Intelligence Network (DIN)","created":"2024-07-02","cited_by_count":2,"area":null},{"id":"2407.08105","title":"Federated Learning and AI Regulation in the European Union: Who is Responsible? -- An Interdisciplinary Analysis","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2203.07802","title":"A Framework for Verifiable and Auditable Federated Anomaly Detection","created":"2022-03-15","cited_by_count":0,"area":null},{"id":"2206.04731","title":"Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance","created":"2022-06-09","cited_by_count":0,"area":null},{"id":"2405.06993","title":"Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations","created":"2024-05-11","cited_by_count":0,"area":null},{"id":"2409.15711","title":"Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2503.05725","title":"A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning","created":"2025-02-17","cited_by_count":0,"area":null},{"id":"2605.08616","title":"Robust Server Defense Against Unreliable Clients in One-Shot Fair Collaborative Machine Learning","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2609.13170","title":"A Lifecycle Cost Analysis of Smart-Contract-Coordinated Federated Learning Marketplaces","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2609.28722","title":"Upholding Robustness in Federated Learning: Trends, Emerging Strategies, and Research Opportunities","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}