Resource-Aware Knowledge Distillation for Federated Learning
Author:
Affiliation:
1. Department of Computer and Information Sciences, Towson University, Towson, MD, USA
2. College of Aeronautics and Engineering, Kent State University, Kent, OH, USA
3. Department of Computer Science, Morgan State University, Baltimore, MD, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)
Link
http://xplorestaging.ieee.org/ielx7/6245516/10241249/10090471.pdf?arnumber=10090471
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1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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3. A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
4. Decentralized Bayesian learning over graphs;lalitha,2019
5. DeCAF: A deep convolutional activation feature for generic visual recognition;donahue;Proc Int Conf Mach Learn,2014
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