Sinem Sav
École Polytechnique Fédérale de Lausanne
H-index: 6
Europe-Switzerland
Top articles of Sinem Sav
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study | arXiv preprint arXiv:2402.16087 | Natalija Mitic Apostolos Pyrgelis Sinem Sav | 2024/2/25 |
System and method for privacy-preserving distributed training of neural network models on distributed datasets | 2023/10/12 | ||
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference | Francesco Intoci Sinem Sav Apostolos Pyrgelis Jean-Philippe Bossuat Juan Ramón Troncoso-Pastoriza | 2023/6/19 | |
Privacy-preserving federated neural network training and inference | Sinem Sav | 2023 | |
Privacy-Preserving Federated Recurrent Neural Networks | arXiv preprint arXiv:2207.13947 | Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux | 2022/7/28 |
Privacy-preserving federated neural network learning for disease-associated cell classification | Patterns | Sinem Sav Jean-Philippe Bossuat Juan R Troncoso-Pastoriza Manfred Claassen Jean-Pierre Hubaux | 2022/5/13 |
Scalable privacy-preserving distributed learning | arXiv preprint arXiv:2005.09532 | David Froelicher Juan R Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav Joao Sa Sousa | 2020/5/19 |
POSEIDON: Privacy-preserving federated neural network learning | arXiv preprint arXiv:2009.00349 | Sinem Sav Apostolos Pyrgelis Juan R Troncoso-Pastoriza David Froelicher Jean-Philippe Bossuat | 2020/9/1 |
Co-Authors
