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EDEN: Enforcing Location Privacy through Re-identification Risk Assessment: A Federated Learning Approach., , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5 (2): 68:1-68:25 (2021)Automated control for SLA-aware elastic clouds.. FeBiD@EuroSys, стр. 27-28. ACM, (2010)Dynamic Modeling of Location Privacy Protection Mechanisms., , , , и . DAIS, том 10853 из Lecture Notes in Computer Science, стр. 26-39. Springer, (2018)Fluid modeling and control for server system performance and availability., , и . DSN, стр. 389-398. IEEE Computer Society, (2009)Towards Dynamic End-to-End Privacy Preserving Data Classification., , и . DSN Workshops, стр. 73-74. IEEE Computer Society, (2018)Exploratory Study of Privacy Preserving Fraud Detection., , , , , и . Middleware Industry, стр. 25-31. ACM, (2018)An Exploratory Analysis on Users' Contributions in Federated Learning., , , , , и . TPS-ISA, стр. 20-29. IEEE, (2020)Bias Mitigation in Federated Learning for Edge Computing., , , , , , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 7 (4): 157:1-157:35 (декабря 2023)Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach., , , , , , , и . IEEE Trans. Dependable Secur. Comput., 18 (1): 269-282 (2021)Cost function based event triggered Model Predictive Controllers application to Big Data Cloud services., , , , и . CDC, стр. 1657-1662. IEEE, (2016)