S. (Saba) Amiri
Faculty of Science
Informatics Institute
Visiting address
- Science Park 900
Postal address
-
Postbus 94323
1090 GH Amsterdam
Contact details
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Publications
2022
Amiri, S., Belloum, A., Nalisnick, E., Klous, S., & Gommans, L. (2022). On the impact of non-IID data on the performance and fairness of differentially private federated learning. In Proceedings, 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop volume: 27-30 June 2022, Baltimore, Maryland (pp. 52-58). (DSN-W; Vol. 2022). IEEE Computer Society. https://doi.org/10.1109/DSN-W54100.2022.00018 [details]- Amiri, S., Nalisnick, E., Belloum, A., Klous, S., & Gommans, L. (2022). Generating Heavy-Tailed Synthetic Data with Normalizing Flows. In The 5th Workshop on Tractable Probabilistic Modeling https://openreview.net/forum?id=PbvyJ8XpNn
2021
- Amiri, S., Belloum, A., Klous, S., & Gommans, L. (2021). Compressive differentiallyprivate federated learning through universal vector quantization. In AAAI Workshop on Privacy-Preserving Artificial Intelligence AAAI.
2019
- Amiri, S., Salimzadeh, S., & Belloum, A. S. Z. (2019). A survey of scalable deep learning frameworks. In IEEE 15th International Conference on eScience: proceedings : 24-27 September 2019, San Diego, California (pp. 650-651). IEEE Computer Society. https://doi.org/10.1109/eScience.2019.00102 [details]
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Ancillary activities
No ancillary activities
Amiri, S., Belloum, A., Nalisnick, E., Klous, S., & Gommans, L. (2022). On the impact of non-IID data on the performance and fairness of differentially private federated learning. In Proceedings, 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop volume: 27-30 June 2022, Baltimore, Maryland (pp. 52-58). (DSN-W; Vol. 2022). IEEE Computer Society.