FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386187768> ?p ?o ?g. }

• W4386187768 abstract "Federated learning has drawn a lot of interest as a powerful technological solution to the ”credit data silo” problem. The interpretability of federated learning is a crucial issue due to the lack of user interaction and the complexity of credit data monitoring. We advocate the importance of a credit data processing-as-a-service model, which completes conventional credit models in local environments, in order to overcome these restrictions. In particular, we describe an explainable federated learning and blockchain-based credit scoring system (EFCS) in this work. First, we propose an explainable federated learning method with controllable machine learning efficiency and controllable credit model decision making, thus having controllable credit model complexity and transparent and traceable credit decision-making mechanism. Then, we suggest an explainable federated learning training mechanism for credit data that prevents leakage of the model gradients trained by individual nodes during the training of the overall model. Neither the credit data provider nor the data user has access to the raw data in the credit model training ecosystem. Therefore, privacy protection, model performance, and algorithm efficiency, the core triangular cornerstones of federated learning, when added with model interpretability, together constitute a more secure and trustworthy federated learning-based methodology, thus providing a more reliable service for credit model training and construction. The EFCS scheme is presented via simulations of different types of federated learning and their resistance to system attack, applying the proposed model to six different credit scoring datasets. Extensive experimental analyses support the efficiency, security, and explainability of the EFCS." @default.
• W4386187768 created "2023-08-27" @default.
• W4386187768 creator A5036484429 @default.
• W4386187768 creator A5047331779 @default.
• W4386187768 creator A5052071646 @default.
• W4386187768 date "2023-08-01" @default.
• W4386187768 modified "2023-09-28" @default.
• W4386187768 title "An Explainable Federated Learning and Blockchain based Secure Credit Modeling Method" @default.
• W4386187768 cites W2560122591 @default.
• W4386187768 cites W2761700016 @default.
• W4386187768 cites W2905025229 @default.
• W4386187768 cites W2922304187 @default.
• W4386187768 cites W2951832089 @default.
• W4386187768 cites W2970989889 @default.
• W4386187768 cites W2981731882 @default.
• W4386187768 cites W2997428643 @default.
• W4386187768 cites W3003508977 @default.
• W4386187768 cites W3003945325 @default.
• W4386187768 cites W3010858269 @default.
• W4386187768 cites W3013599592 @default.
• W4386187768 cites W3015636663 @default.
• W4386187768 cites W3017089210 @default.
• W4386187768 cites W3019423257 @default.
• W4386187768 cites W3035563549 @default.
• W4386187768 cites W3035809905 @default.
• W4386187768 cites W3048047965 @default.
• W4386187768 cites W3083961251 @default.
• W4386187768 cites W3089656219 @default.
• W4386187768 cites W3091870957 @default.
• W4386187768 cites W3093268991 @default.
• W4386187768 cites W3095611529 @default.
• W4386187768 cites W3101098008 @default.
• W4386187768 cites W3111142426 @default.
• W4386187768 cites W3117676164 @default.
• W4386187768 cites W3123459983 @default.
• W4386187768 cites W3129177738 @default.
• W4386187768 cites W3135231128 @default.
• W4386187768 cites W3135286407 @default.
• W4386187768 cites W3164712068 @default.
• W4386187768 cites W3169594071 @default.
• W4386187768 cites W3173725123 @default.
• W4386187768 cites W3176827378 @default.
• W4386187768 cites W3189896396 @default.
• W4386187768 cites W3196507906 @default.
• W4386187768 cites W3196670136 @default.
• W4386187768 cites W3205154884 @default.
• W4386187768 cites W4200176036 @default.
• W4386187768 cites W4206016309 @default.
• W4386187768 cites W4213002759 @default.
• W4386187768 cites W4224220152 @default.
• W4386187768 cites W4224230773 @default.
• W4386187768 cites W4225279852 @default.
• W4386187768 cites W4280575173 @default.
• W4386187768 cites W4283800989 @default.
• W4386187768 cites W4285281025 @default.
• W4386187768 cites W4291017541 @default.
• W4386187768 cites W4306956827 @default.
• W4386187768 doi "https://doi.org/10.1016/j.ejor.2023.08.040" @default.
• W4386187768 hasPublicationYear "2023" @default.
• W4386187768 type Work @default.
• W4386187768 citedByCount "0" @default.
• W4386187768 crossrefType "journal-article" @default.
• W4386187768 hasAuthorship W4386187768A5036484429 @default.
• W4386187768 hasAuthorship W4386187768A5047331779 @default.
• W4386187768 hasAuthorship W4386187768A5052071646 @default.
• W4386187768 hasConcept C119857082 @default.
• W4386187768 hasConcept C136764020 @default.
• W4386187768 hasConcept C145097563 @default.
• W4386187768 hasConcept C154945302 @default.
• W4386187768 hasConcept C2779687700 @default.
• W4386187768 hasConcept C2781067378 @default.
• W4386187768 hasConcept C2983355114 @default.
• W4386187768 hasConcept C38652104 @default.
• W4386187768 hasConcept C41008148 @default.
• W4386187768 hasConceptScore W4386187768C119857082 @default.
• W4386187768 hasConceptScore W4386187768C136764020 @default.
• W4386187768 hasConceptScore W4386187768C145097563 @default.
• W4386187768 hasConceptScore W4386187768C154945302 @default.
• W4386187768 hasConceptScore W4386187768C2779687700 @default.
• W4386187768 hasConceptScore W4386187768C2781067378 @default.
• W4386187768 hasConceptScore W4386187768C2983355114 @default.
• W4386187768 hasConceptScore W4386187768C38652104 @default.
• W4386187768 hasConceptScore W4386187768C41008148 @default.
• W4386187768 hasFunder F4320320366 @default.
• W4386187768 hasFunder F4320321006 @default.
• W4386187768 hasFunder F4320336567 @default.
• W4386187768 hasLocation W43861877681 @default.
• W4386187768 hasOpenAccess W4386187768 @default.
• W4386187768 hasPrimaryLocation W43861877681 @default.
• W4386187768 hasRelatedWork W3006943036 @default.
• W4386187768 hasRelatedWork W4200511449 @default.
• W4386187768 hasRelatedWork W4206534706 @default.
• W4386187768 hasRelatedWork W4226120369 @default.
• W4386187768 hasRelatedWork W4229079080 @default.
• W4386187768 hasRelatedWork W4299487748 @default.
• W4386187768 hasRelatedWork W4372061094 @default.
• W4386187768 hasRelatedWork W4385957992 @default.
• W4386187768 hasRelatedWork W4385965371 @default.
• W4386187768 hasRelatedWork W4386025632 @default.
• W4386187768 isParatext "false" @default.

• next