A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning

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A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning

17 February 2025

Khanh T. P. Nguyen

K.P. Tran

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Papers citing "A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning"

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Title
Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challenges Qin Wang Rujia Li Qi Wang Shiping Chen 202 644 0 16 May 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and ChallengesIEEE Internet of Things Journal (IEEE IoT Journal), 2021 Dinh C. Nguyen Ming Ding Quoc-Viet Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 195 520 0 05 Apr 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 211 288 0 14 Jan 2021
A Blockchain-based Decentralized Federated Learning Framework with Committee ConsensusIEEE Network (IEEE Netw.), 2020 Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 157 479 0 02 Apr 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 503 7,300 0 10 Dec 2019
Federated Learning: Challenges, Methods, and Future DirectionsIEEE Signal Processing Magazine (IEEE SPM), 2019 Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 955 5,259 0 21 Aug 2019
On the Convergence of FedAvg on Non-IID DataInternational Conference on Learning Representations (ICLR), 2019 Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 530 2,680 0 04 Jul 2019