Learning with Local Gradients at the Edge

Conference proceeding

Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael Isnardi, David Zhang, Michael Piacentino and DAVID DONG Qi ZHANG

Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, pp.3146-3151

2023

Abstract

backpropagation-free training

deep learning

edge computing

machine learning

neural networks

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Title: Learning with Local Gradients at the Edge
Creators: Michael Lomnitz - SRI International
Zachary Daniels - Vision International University
Saurabh Farkya - Vision International University
Michael Isnardi - Vision International University
David Zhang - Vision International University
Michael Piacentino - SRI International
DAVID DONG Qi ZHANG - UMMG Department of Surgery
Publication Details: Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, pp.3146-3151
Number of pages: 6
Grant note: Office of the Director of National Intelligence (http://data.elsevier.com/vocabulary/SciValFunders/100011038) Intelligence Advanced Research Projects Activity (http://data.elsevier.com/vocabulary/SciValFunders/100011039) 2022-21100600001 / Intelligence Advanced Research Projects Activity (http://data.elsevier.com/vocabulary/SciValFunders/100011039)
Academic Unit: Miller School of Medicine; UMMG Dept of Surgery - Div of Colon & Rectal Surgery; UMMG Department of Surgery
Language: English
Resource Type: Conference proceeding
Record Identifier: 991032796103302976