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Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
... Machine Learning. MIT Press, Cambridge (2020) 37. Murphy, K.P.: Machine Learning: A Probabilistic Perspective. MIT Press, Cambridge (2012) 38. Dwork, C.: Differential privacy: a survey of results. In: International Conference on Theory ...
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
... Machine learning differential privacy with multifunctional aggregation in a fog computing architecture. IEEE Access 6: 17119–17129. 32 Lyu, L., Nandakumar, K., Rubinstein, B. et al. (2018). 372 14 Security and Privacy Issues and Solutions ...
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
... differential privacy with multifunctional aggregation in a fog computing architecture ... machine learning methods for cyber security intrusion detection. IEEE ... Machine Learning for Fog Computing-Based IoT Networks in Smart City Environment ...
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
... Machine learning differential privacy with multifunctional aggregation in a fog computing architecture. IEEE Access, 6, 17119–17129. 82. Al-Turjman, F.M., Imran, M. and Bakhsh, S.T. (2017). Energy efficiency perspectives of femtocells ...
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
... multifunctional data aggregation methods that preserves privacy (such as additive and non-additive aggregation). The technique utilizes a trained machine ... Computing Architecture Centralized Control and Mediation IoT Endpoints Distributed ...
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
... Machine learning: Trends, perspectives, and prospects. Science (New York, NY) ... differential game for incentive to contribute resource- based crowdfunding ... architecture for mobile computing. IEEE INFOCOM 2016 – The 35th Annual IEEE ...
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
... Privacy (2019), pp. 81–87 23. R. Shokri, M. Stronati, C. Song, V. Shmatikov, Membership inference attacks against machine learning models, in IEEE Symposium on Security and Privacy (S&P) (IEEE, Piscataway, 2017), pp. 3–18 24. S. Truex ...
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques.
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT ...
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. from books.google.com
This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in September 2010.