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Michael A. Hoeh
Publication Activity (10 Years)
Years Active: 2016-2021
Publications (10 Years): 3
Top Topics
Privacy Preserving
Machine Learning
Network Model
Reinforcement Learning
Top Venues
CoRR
Comput. Sci. Eng.
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Publications
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Daniele Romanini
,
Adam James Hall
,
Pavlos Papadopoulos
,
Tom Titcombe
,
Abbas Ismail
,
Tudor Cebere
,
Robert Sandmann
,
Robin Roehm
,
Michael A. Hoeh
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN.
CoRR
(2021)
Nick Angelou
,
Ayoub Benaissa
,
Bogdan Cebere
,
William Clark
,
Adam James Hall
,
Michael A. Hoeh
,
Daniel Liu
,
Pavlos Papadopoulos
,
Robin Roehm
,
Robert Sandmann
,
Phillipp Schoppmann
,
Tom Titcombe
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning.
CoRR
(2020)
Jeff T. Gostick
,
Mahmoudreza Aghighi
,
James Hinebaugh
,
Tom Tranter
,
Michael A. Hoeh
,
Harold Day
,
Brennan Spellacy
,
Mostafa H. Sharqawy
,
Aimy Bazylak
,
Alan Burns
,
Werner Lehnert
,
Andreas Putz
OpenPNM: A Pore Network Modeling Package.
Comput. Sci. Eng.
18 (4) (2016)