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Application of Federated Learning in mobile communication Anti-telecom fraud.

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An Integrated Detection Based on a Multi-Parameter Plasmonic Optical Fiber Sensor., , , , , , , , , and . Sensors, 21 (3): 803 (2021)Application of Federated Learning in mobile communication Anti-telecom fraud., , , , , , , , and . CNML, page 115-118. ACM, (2023)A single-to-differential broadband transimpedance amplifier for 12.5 Gb/s optical links., , , , , , and . IEICE Electron. Express, 14 (2): 20161153 (2017)Ranking near-native candidate protein structures via random forest classification., , , , , , and . BMC Bioinform., 20-S (25): 683 (2019)Prediction of Membrane Protein Interaction Based on Deep Residual Learning., , , , , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 103-108. Springer, (2020)Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors., , , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (5): 1752-1762 (2021)Tolerance Analysis of Optical splitter / combiner on Lithium Niobate Modulator., , , , , and . ICCT, page 134-138. IEEE, (2023)Research on predicting 2D-HP protein folding using reinforcement learning with full state space., , , , , and . BMC Bioinform., 20-S (25): 685 (2019)A protein-peptide docking program with modeling receptor flexible areas., , , , and . BIBM, page 48-50. IEEE Computer Society, (2013)Spot-Size Converter of Thin-film Lithium Niobate on Quartz Substrate., , , , , and . ICCT, page 102-105. IEEE, (2023)