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Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies

Aug 04, 2020
Mert Al, Semih Yagli, Sun-Yuan Kung

* 21 pages, 4 figures, submitted to IEEE Transactions on Neural Networks and Learning Systems 

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Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning

May 05, 2020
Semih Yagli, Alex Dytso, H. Vincent Poor

* Accepted for publication in Proceedings of 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020. arXiv version is 10pt font, 6 Pages. This is the same document as the SPAWC version, except that the conference version is written with 9pt font to meet the strict page margin requirements 

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