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MNCF: Prediction Method for Reliable Blockchain Services under a BaaS Environment., , , and . Inf., 12 (6): 242 (2021)pFedLN: Personalized Federated Learning Framework With Layer-Wised and Neighbor-Based Aggregation for QoS Prediction., , , and . IEEE Access, (2024)MultiFed: A fast converging federated learning framework for services QoS prediction via cloud-edge collaboration mechanism., , , and . Knowl. Based Syst., (2023)Image Denoising with Strong Noise Base on Curvature Filters., , , and . DSP, page 1-5. IEEE, (2018)An Online Prediction Framework for Dynamic Service-Generated QoS Big Data., , and . DASFAA Workshops, volume 10179 of Lecture Notes in Computer Science, page 60-74. Springer, (2017)MSA-Fed: Model Similarity Aware Federated Learning for Data Heterogeneous QoS Prediction., , , , and . CSCloud/EdgeCom, page 281-286. IEEE, (2023)Location-Based Hierarchical Matrix Factorization for Web Service Recommendation., , , , and . ICWS, page 297-304. IEEE Computer Society, (2014)Connection-density-aware satellite-ground federated learning via asynchronous dynamic aggregation., , , , , , and . Future Gener. Comput. Syst., (2024)Web Service Personalized Quality of Service Prediction via Reputation-Based Matrix Factorization., , and . IEEE Trans. Reliab., 65 (1): 28-37 (2016)GATCF: Graph Attention Collaborative Filtering for Reliable Blockchain Services Selection in BaaS., , , , , and . Sensors, 23 (15): 6775 (August 2023)