Split Learning Professors in Global

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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
transfer learning
depth learning
motor learning
cognitive learning
rate learning
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Yuhong Guo
Carleton University Canada
semi-supervised learning
federated learning
few-shot learning
active learning
self-supervised learning
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Arthur Galamba
King's College London United Kingdom
hybrid learning
stem learning
collaborative learning
online learning
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Il-min Kim
Queen's University Canada
distributed learning
federated learning
few-shot learning
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Yichen Zhang
Purdue University United States of America
distributed learning
transfer learning
multi-task learning
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Christian Stöhr
Chalmers University of Technology Sweden
hybrid learning
digital learning
online learning
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Sharon Flecknoe
Monash University Australia
blended learning
collaborative learning
active learning
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Natalie Bennett
Monash University Australia
blended learning
collaborative learning
active learning
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Annette Grunwald
Aalborg University Denmark
learning
active learning
problem based learning
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Ruth Urner
York University Canada
semi-supervised learning
transfer learning
active learning
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Fei Wang
Cornell University Netherlands
federated learning
transfer learning
multi-modal learning
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Konstantinos Kamnitsas
University of Oxford United Kingdom
federated learning
transfer learning
deep learning
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Samory Kpotufe
Columbia University United States of America
transfer learning
multi-task learning
active learning
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Pieter Abbeel
University of California, Berkeley United States of America
transfer learning
deep learning
imitation learning
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Qiang Duan
Pennsylvania State University Abington College United States of America
split learning
federated learning
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Professor
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Robyn Lockwood
Stanford University United States of America
blended learning
flipped learning
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Yaoliang Yu
University of Waterloo Canada
distributed learning
federated learning
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Bassel Al Homsi
University of New South Wales Australia
distributed learning
federated learning
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Adrian Edin
Linköping University Sweden
distributed learning
federated learning
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Stefan Stenbom
KTH Royal Institute of Technology Sweden
blended learning
digital learning
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José Júnior
Uppsala University Sweden
distributed learning
federated learning
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