New AI method keeps data private

New machine learning method developed by researchers at the University of Helsinki, Aalto University and Waseda University of Tokyo can use for example data on cell phones while guaranteeing data subject privacy. Credit: Eliel Kilkki

“Previously you needed one party with unrestricted access to all the data. Our new method enables learning accurate models for example using data on user devices without the need to reveal private information to any outsider”, Assistant Professor Antti Honkela of the University of Helsinki says.

The group of researchers at the University of Helsinki and Aalto University, Finland, has applied privacy-aware methods for example to predicting cancer drug efficacy using gene expression.

“We have developed these methods with funding from the Academy of Finland for a few years, and now things are starting to look promising.

Learning from big data is easier, but now we can also get results from smaller data”, Academy Professor Samuel Kaski of Aalto University says.

###

The method was published and presented in early December in the annual premier machine learning conference NIPS, https://nips.cc/.

Reference: M. Heikkilä, E. Lagerspetz, S. Kaski, K. Shimizu, S. Tarkoma, A. Honkela. Differentially private Bayesian learning on distributed data. In Advances in Neural Information Processing Systems 30 (NIPS 2017). http://papers.nips.cc/paper/6915-differentially-private-bayesian-learning-on-distributed-data

For more information: Assistant Professor Antti Honkela, University of Helsinki, tel. +358 50 311 2483, @ahonkela antti.honkela@helsinki.fi

Minna Meriläinen-Tenhu, 050 415 0316, @MinnaMeriTenhu, minna.merilainen@helsinki.fi

Media Contact

Antti Honkela EurekAlert!

All latest news from the category: Information Technology

Here you can find a summary of innovations in the fields of information and data processing and up-to-date developments on IT equipment and hardware.

This area covers topics such as IT services, IT architectures, IT management and telecommunications.

Back to home

Comments (0)

Write a comment

Newest articles

Error-Free Quantum Computing Gets Real

For quantum computers to be useful in practice, errors must be detected and corrected. At the University of Innsbruck, Austria, a team of experimental physicists has now implemented a universal…

Most powerful dual-comb spectrometer developed

Scientists from Hamburg and Munich developed the world’s most powerful dual-comb spectrometer that paves the way for many applications in atmospheric science and biomedical diagnostics, such as early cancer detection….

Role of cohesins in embryonic stem cell division

Study shows how meiotic cohesin complexes affect chromosome structure and genomic integrity – and the long-term implications of their effects on the stem cell genome. Chromosomes undergo precise structural changes…

Partners & Sponsors