Michael A. Hoeh

According to our database, Michael A. Hoeh authored at least 4 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Toward a tipping point in federated learning in healthcare and life sciences.

Inken Hagestedt, Ian Hales, Eric Boernert, Holger R. Roth, Michael A. Hoeh, Robin Roehm, Ellie Dobson, José Tomás Prieto

Patterns, 2024

2021

PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN.

Daniele Romanini, Adam James Hall, Pavlos Papadopoulos, Tom Titcombe, Abbas Ismail, Tudor Cebere, Robert Sandmann, Robin Roehm, Michael A. Hoeh

CoRR, 2021

2020

Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning.

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

CoRR, 2020

2016

OpenPNM: A Pore Network Modeling Package.

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

Comput. Sci. Eng., 2016