Decoupled Time-Dimensional Progressive Self-Distillation With Knowledge Calibration for Edge Computing-Enabled AIoT
The time-dimensional self-distillation seeks to transfer knowledge from earlier historical models to subsequent ones with minimal computational overhead. This enables model self-augmentation without the need for large teacher models, making it particularly suitable for resource-constrained edge and...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10781392/ |
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