Federated probabilistic modelling for heterogeneous programmable IoT systems

Kaski, Samuel (Principal investigator)
Jälkö, Joonas (Project Member)
Prediger, Lukas (Project Member)
Filstroff, Louis (Project Member)
Kulkarni, Tejas (Project Member)

Department of Computer Science

Acronym	FIT
Status	Finished
Effective start/end date	04/09/2019 → 31/12/2022

5 Conference article in proceedings
4 Article
1 Conference article

Collaborative learning from distributed data with differentially private synthetic data
Prediger, L., Jälkö, J., Honkela, A. & Kaski, S., 14 Jun 2024, In: BMC Medical Informatics and Decision Making. 24, 1, p. 1-14 14 p., 167.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
3 Citations (Scopus)

66 Downloads (Pure)
Noise-Aware Statistical Inference with Differentially Private Synthetic Data
Räisä, O., Jälkö, J., Kaski, S. & Honkela, A., 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023. Ruiz, F., Dy, J. & van de Meent, J.-W. (eds.). JMLR, p. 3620-3643 (Proceedings of Machine Learning Research; vol. 206).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
45 Downloads (Pure)
d3p - A Python Package for Differentially-Private Probabilistic Programming
Prediger, L., Loppi, N., Kaski, S. & Honkela, A., 1 Apr 2022, In: Proceedings of Privacy Enhancing Technologies. 2022, 2, p. 407–425
Research output: Contribution to journal › Conference article › Scientific › peer-review

Open Access
File
149 Downloads (Pure)