Mikko A. Heikkilä

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Differentially Private

Top Venues

Trans. Mach. Learn. Res.

Publications

Muhammad A. Shah, David Solans Noguero, Mikko A. Heikkilä, Nicolas Kourtellis
Speech Robust Bench: A Robustness Benchmark For Speech Recognition. CoRR (2024)
Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning. CoRR (2024)
Mikko A. Heikkilä
On Joint Noise Scaling in Differentially Private Federated Learning with Multiple Local Steps. CoRR (2024)
Antti Koskela, Mikko A. Heikkilä, Antti Honkela
Numerical Accounting in the Shuffle Model of Differential Privacy. Trans. Mach. Learn. Res. 2023 (2023)
Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela
Differentially private partitioned variational inference. Trans. Mach. Learn. Res. 2023 (2023)
Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E. Turner, Antti Honkela
Differentially private partitioned variational inference. CoRR (2022)
Antti Koskela, Mikko A. Heikkilä, Antti Honkela
Tight Accounting in the Shuffle Model of Differential Privacy. CoRR (2021)
Mikko A. Heikkilä, Antti Koskela, Kana Shimizu, Samuel Kaski, Antti Honkela
Differentially private cross-silo federated learning. CoRR (2020)
Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela
Differentially Private Markov Chain Monte Carlo. CoRR (2019)
Teppo Mikael Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski
Representation transfer for differentially private drug sensitivity prediction. Bioinform. 35 (14) (2019)
Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela
Differentially Private Markov Chain Monte Carlo. NeurIPS (2019)
Teppo Mikael Niinimäki, Mikko A. Heikkilä, Antti Honkela, Samuel Kaski
Representation Transfer for Differentially Private Drug Sensitivity Prediction. CoRR (2019)
Mikko A. Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela
Differentially private Bayesian learning on distributed data. NIPS (2017)
Mikko A. Heikkilä, Yusuke Okimoto, Samuel Kaski, Kana Shimizu, Antti Honkela
Differentially Private Bayesian Learning on Distributed Data. CoRR (2017)