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TODO.md

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Todo list of (theoretical and applied) problems under the framework of federated learning

  1. FedECG

    federated learning of ECG models (classification, segmentation, etc.) using for example

     - dataset distillation
     - ensemble distillation (as proposed in [FedED](https://www.aclweb.org/anthology/2020.emnlp-main.165.pdf))
     - etc.
    

    a good resource for this problem is the dataset of CinC2021.

  2. to add more....