Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System

11 November 2021

Papers citing "Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System"

20 / 20 papers shown

Title
A Framework for Cryptographic Verifiability of End-to-End AI Pipelines Kar Balan Robert Learney Tim Wood 34 0 0 28 Mar 2025
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm Yuxin Jin Taotao Wang Qing Yang Long Shi Shengli Zhang 38 0 0 18 Mar 2025
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Chhavi Yadav Evan Monroe Laufer Dan Boneh Kamalika Chaudhuri 91 0 0 06 Feb 2025
A Multivocal Literature Review on Privacy and Fairness in Federated Learning Beatrice Balbierer Lukas Heinlein Domenique Zipperling Niklas Kühl 24 0 0 16 Aug 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 34 1 0 16 Jun 2024
A Survey on Contribution Evaluation in Vertical Federated Learning Yue Cui Chung-ju Huang Yuzhu Zhang Leye Wang Lixin Fan Xiaofang Zhou Qiang Yang FedML 39 5 0 03 May 2024
End-to-End Verifiable Decentralized Federated Learning Chaehyeon Lee Jonathan Heiss Stefan Tai James Won-Ki Hong 31 2 0 19 Apr 2024
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality Biwei Yan Hongliang Zhang Minghui Xu Dongxiao Yu Xiuzhen Cheng 41 5 0 15 Jan 2024
Privacy-Preserving in Blockchain-based Federated Learning Systems Sameera K.M. S. Nicolazzo Marco Arazzi Antonino Nocera Rafidha Rehiman K.A. V. P. Mauro Conti 33 25 0 07 Jan 2024
zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proof Mojtaba Ahmadi Reza Nourmohammadi 22 7 0 01 Dec 2023
Federated Learning: Organizational Opportunities, Challenges, and Adoption Strategies J. Delgado-Fernandez Martin Brennecke Tom Josua Barbereau Alexander Rieger Gilbert Fridgen FedML AI4CE 27 1 0 04 Aug 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 30 9 0 19 May 2023
Zero-Knowledge Proof-based Practical Federated Learning on Blockchain Zhibo Xing Zijian Zhang Meng Li J. Liu Liehuang Zhu Giovanni Russello M. R. Asghar 16 17 0 12 Apr 2023
Recent Advances of Blockchain and its Applications Xiao Li Wei Wu 24 15 0 16 Aug 2022
Marvel DC: A Blockchain-Based Decentralized and Incentive-Compatible Distributed Computing Protocol Conor McMenamin Vanesa Daza 21 1 0 28 Jul 2022
Towards Verifiable Differentially-Private Polling Gonzalo Munilla Garrido Matthias Babel Johannes Sedlmeir 19 8 0 15 Jun 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey Ziyao Liu Jiale Guo Wenzhuo Yang Jiani Fan Kwok-Yan Lam Jun Zhao FedML 29 87 0 31 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 27 45 0 21 Mar 2022
Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries Gonzalo Munilla Garrido Joseph P. Near Aitsam Muhammad Warren He Roman Matzutt Florian Matthes 22 13 0 22 Sep 2021
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review Gonzalo Munilla Garrido Johannes Sedlmeir Ömer Uludağ Ilias Soto Alaoui André Luckow Florian Matthes 20 45 0 25 Jul 2021