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FL-MFGM: A Privacy-Preserving and High-Accuracy Blockchain Reliability Prediction Model.

J. Xu, W. She, J. Lin, Z. Xu, H. Cai, Z. Xiong, и C. Zhu. BlockSys, том 1679 из Communications in Computer and Information Science, стр. 306-321. Springer, (2022)

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Weiwei Tian

James She

Weiwei Chen

Jianwen She

Haiying She

Другие публикации лиц с тем же именем

Double Security Guarantee: Protecting User Privacy and Model Security in QoS Prediction.J. Xu, Z. Xu, J. Lin, и W. She. SCC, стр. 140-145. IEEE, (2022)pFedLN: Personalized Federated Learning Framework With Layer-Wised and Neighbor-Based Aggregation for QoS Prediction.W. She, J. Xu, M. Jin, и Y. Liu. IEEE Access, (2024)FL-MFGM: A Privacy-Preserving and High-Accuracy Blockchain Reliability Prediction Model.J. Xu, W. She, J. Lin, Z. Xu, H. Cai, Z. Xiong, и C. Zhu. BlockSys, том 1679 из Communications in Computer and Information Science, стр. 306-321. Springer, (2022)Neighbor Collaboration-Based Secure Federated QoS Prediction for Smart Home Services.Z. Xu, J. Lin, W. She, J. Xu, Z. Xiong, и H. Cai. SCC, том 13738 из Lecture Notes in Computer Science, стр. 71-85. Springer, (2022)TSFed: A Two-Stage Federated Learning Framework via Cloud-Edge Collaboration for Services QoS Prediction.J. Lin, Y. Li, Z. Xu, W. She, и J. Xu. ICWS, том 13736 из Lecture Notes in Computer Science, стр. 58-72. Springer, (2022)

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