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Image Credit: Arxiv

MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices

  • MetaCLBench is an end-to-end Meta-CL benchmark framework for edge devices.
  • It evaluates six representative Meta-CL approaches using both image and audio datasets.
  • The study reveals computational and memory costs associated with Meta-CL methods on edge devices.
  • Practical guidelines are provided for implementing Meta-CL on resource-constrained environments.

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