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On-device training for personalized learning is a challenging research problem.
Catastrophic interference in connectionist networks: The sequential learning problem
M. McCloskey and N. J. Cohen · 1989
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CORe50: A New Dataset and Benchmark for Continuous Object Recognition
V. Lomonaco and D. Maltoni · 2017
Earlier work this paper cites.
Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, et al · 2017
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Rehearsal-Free Continual Learning over Small Non-I.I.D. Batches
V. Lomonaco, D. Maltoni, and L. Pellegrini · 2020
Cited alongside, same era.
Latent replay for real-time continual learning
L. Pellegrini, G. Graffieti, V. Lomonaco, and D. Maltoni · 2020
Cited alongside, same era.
Avalanche: An End-to-End Library for Continual Learning
V. Lomonaco, L. Pellegrini, A. Cossu, et al · 2021
Cited alongside, same era.
Replay in deep learning: Current approaches and missing biological elements
T. L. Hayes, G. P. Krishnan, M. Bazhenov, et al · 2021
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Continual learning on the edge with tensorflow lite
G. Demosthenous and V. Vassiliades · 2021
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