This article examines the integration of blockchain, eXplainable Artificial Intelligence (XAI), especially in the context of federated learning, for credit ...
Jul 9, 2024 · This article examines the integration of blockchain, eXplainable Artificial Intelligence (XAI), especially in the context of federated ...
A combination of blockchain and federated learning improves credit data siloing. Credit qualification credit score evaluation proofs to authenticate credit ...
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Robust integration of blockchain and explainable federated learning for automated credit scoring. Z Jovanovic, Z Hou, K Biswas, V Muthukkumarasamy. Computer ...
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The authors introduce an explainable FL method [141] that enables controllable ML efficiency and transparent, traceable decision-making in credit models.
Nov 6, 2024 · This paper presents a novel framework, Blockchain-Based Deep Learning Model LSTM-X, for enhanced credit scoring and risk assessment in ...
This paper aims to provide a comprehensive review of recent efforts on blockchain-based federated learning.
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First, we propose an explainable federated learning method with controllable machine learning efficiency and controllable credit model decision making, thus ...
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A systematic review of existing literature on secure data-sharing platforms for federated learning provided by blockchain technology is conducted, ...
Nov 7, 2024 · This section explores studies that have either integrated explainability into FL methods or analyzed how one technology influences the other.