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Privacy-Preserving Algorithms for Machine Learning.. University of California, San Diego, USA, (2018)base-search.net (ftcdlib:qt43j071fj).That which we call private., , , и . CoRR, (2019)Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels., , и . CoRR, (2019)Stochastic gradient descent with differentially private updates., , и . GlobalSIP, стр. 245-248. IEEE, (2013)MEST: A Model-Driven Efficient Searching Approach for MapReduce Self-Tuning., , , , , и . IEEE Access, (2017)Multi-agent-based modelling and simulation of high-speed train., , и . Comput. Electr. Eng., (2020)A 50μW Fully Differential Interface Amplifier With a Current Steering Class AB Output Stage for PPG and NIRS Recordings., , , и . IEEE Trans. Circuits Syst. II Express Briefs, 67-II (9): 1564-1568 (2020)Remote Sensing Object Detection in the Deep Learning Era - A Review., , , и . Remote. Sens., 16 (2): 327 (января 2024)Automatic Clearance Anomaly Detection for Transmission Line Corridors Utilizing UAV-Borne LIDAR Data., , , , и . Remote. Sens., 10 (4): 613 (2018)Magnetic Tracking With Real-Time Geomagnetic Vector Separation for Robotic Dockable Charging., , , , , и . IEEE Trans. Intell. Transp. Syst., 24 (12): 13830-13840 (декабря 2023)