Matt Seigel

Computer Science · Physical Sciences

4h-index88citations9works0.02yr avg
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Research Topics

Privacy-Preserving Technologies in Data(4), Speech Recognition and Synthesis(2), Mobile Crowdsensing and Crowdsourcing(2), IoT and Edge/Fog Computing(1), Educational Games and Gamification(1)

Publications9 total

Training a Tokenizer for Free with Private Federated Learning
arXiv (Cornell University)·2022· 1 citedOpen Access
Enforcing fairness in private federated learning via the modified method of differential multipliers.
arXiv (Cornell University)·2021· 22 citedOpen Access
Enforcing fairness in private federated learning via the modified method of differential multipliers
arXiv (Cornell University)·2021· 18 citedOpen Access
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
arXiv (Cornell University)·2021· 33 citedOpen Access
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
arXiv (Cornell University)·2021· 2 citedOpen Access
Improving On-Device Speaker Verification Using Federated Learning with Privacy
2020· 9 citedOpen Access
Improving on-device speaker verification using federated learning with\n privacy
arXiv (Cornell University)·2020· 2 citedOpen Access
SLAM 2013 Speech, Language and Audio in Multimedia
CEUR Workshop Proceedings·2013
The CVD Format in the Development of the Video Book and the Impact of the Video Book on Electronic Publishing.
COMPCON·1986· 1 cited

Frequent Co-authors

Filip Granqvist(6), Áine Cahill(5), Rogier van Dalen(5), Matthias Paulik(4), H. Benjamin Mason(2), Dominic Telaar(2), Joris Kluivers(2), Rogier C. van Dalen(2), Luke Carlson(2), Chris Vandevelde(2), Sudeep Agarwal(2), Julien Freudiger(2), Andrew Byde(2), Abhishek Bhowmick(2), Si Beaumont(2), Dominic Hughes(2), Omid Javidbakht(2), Rehan Rishi(2), Stanley Hung(2), Borja Rodríguez-Gálvez(2)