Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains
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Abstract (arXiv)
Fabric is a modular and extensible open-source system for deploying and operating permissioned blockchains and one of the Hyperledger projects hosted by the Linux Foundation (www.hyperledger.org). Fabric is the first truly extensible blockchain system for running distributed applications. It supports modular consensus protocols, which allows the system to be tailored to particular use cases and trust models. Fabric is also the first blockchain system that runs distributed applications written in standard, general-purpose programming languages, without systemic dependency on a native cryptocurrency. This stands in sharp contrast to existing blockchain platforms that require "smart-contracts" to be written in domain-specific languages or rely on a cryptocurrency. Fabric realizes the permissioned model using a portable notion of membership, which may be integrated with industry-standard identity management. To support such flexibility, Fabric introduces an entirely novel blockchain design and revamps the way blockchains cope with non-determinism, resource exhaustion, and performance attacks. This paper describes Fabric, its architecture, the rationale behind various design decisions, its most prominent implementation aspects, as well as its distributed application programming model. We further evaluate Fabric by implementing and benchmarking a Bitcoin-inspired digital currency. We show that Fabric achieves end-to-end throughput of more than 3500 transactions per second in certain popular deployment configurations, with sub-second latency, scaling well to over 100 peers.
Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jan 2018.
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Citing papers per year: 2021: 6; 2022: 9; 2023: 8; 2024: 11; 2025: 3; 2026: 11.
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- 2024Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain28 Jul 2024
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- 2024Permissioned Blockchain-based Framework for Ranking Synthetic Data Generators12 May 2024
- 2024Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage9 Apr 2024
- 2024Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning28 Mar 2024
- 2024Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy28 Feb 2024
- 2024Decentralized Federated Learning: A Survey on Security and Privacy25 Jan 2024
- 2024Privacy-Preserving in Blockchain-based Federated Learning Systems7 Jan 2024
- 2023FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks3 Oct 2023
- 2023Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis11 Sep 2023
- 2023DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT25 Aug 2023
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- 2023Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges12 Mar 2023
- 2022An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication26 Sep 2022
- 2022An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation15 Aug 2022
- 2022APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain26 Jun 2022
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- 2022A Framework for Verifiable and Auditable Federated Anomaly Detection15 Mar 2022
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- 2021Towards automated verification of multi-party consensus protocols4 Dec 2021
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- 2021Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles1 Mar 2021
- 2024Decentralized Federated Learning: A Survey on Security and Privacycited by 25
- 2022Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Reviewcited by 15
- 2024Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learningcited by 8
- 2022BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learningcited by 7
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- 2022A review of Federated Learning in Intrusion Detection Systems for IoTcited by 4
- 2023FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attackscited by 4
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12 most cited of 45 All 45 (JSON)
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- 2026Public and private blockchain for decentralized digital building twins and building automation system16 Apr 2026
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- 2026Federated Inference: Toward Privacy-Preserving Collaborative and Incentivized Model Serving9 Feb 2026
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12 newest of 45 All 45 (JSON)