d3p - A Python Package for Differentially-Private Probabilistic Programming

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  FIT: Federated probabilistic modelling for heterogeneous programmable IoT systems

  Kaski, S. (Principal investigator), Filstroff, L. (Project Member), Jälkö, J. (Project Member), Prediger, L. (Project Member), Kulkarni, T. (Project Member) & Mallasto, A. (Project Member)

  04/09/2019 → 31/12/2022

  Project: Academy of Finland: Other research funding

  • Models 100%
  • User 90%
  • Differential Privacy 77%
  • Synthetic Data 67%
  • Gaussian Process 56%

• Interactive machine learning from multiple biodata sources

  Kaski, S. (Principal investigator), Hämäläinen, A. (Project Member), Gadd, C. (Project Member), Hegde, P. (Project Member), Shen, Z. (Project Member), Siren, J. (Project Member), Trinh, T. (Project Member), Jain, A. (Project Member) & Jälkö, J. (Project Member)

  01/01/2019 → 31/08/2021

  Project: Academy of Finland: Other research funding

  • Models 100%
  • User 51%
  • Gaussian Process 38%
  • Application 29%
  • Optimization 29%

• Interactive machine learning from multiple biodata sources

  Kaski, S. (Principal investigator) & Filstroff, L. (Project Member)

  01/01/2016 → 31/08/2021

  Project: Academy of Finland: Other research funding

  • Models 100%
  • User 72%
  • Reinforcement Learning 32%
  • Representation 28%
  • Regression 28%