Cloud-Edge Training(Cloud-Edge Collaborative Training)

[swagshaw]

Cloud-Edge Training(Cloud-Edge Collaborative Training)

[swagshaw]

A communication efficient distributed learning framework for smart environments
https://readpaper.com/paper/2743349999
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
https://readpaper.com/paper/2774000609
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.
https://readpaper.com/paper/2903471046
Differential Privacy Preserving of Training Model in Wireless Big Data with Edge Computing
https://readpaper.com/paper/2800696118

[leeeizhang]

Canoe A System for Collaborative Learning for Neural Nets
https://arxiv.org/abs/2108.12124

[leeeizhang]

@article{usmanova2021distillation,
  title={A distillation-based approach integrating continual learning and federated learning for pervasive services},
  author={Usmanova, Anastasiia and Portet, Fran{\c{c}}ois and Lalanda, Philippe and Vega, German},
  journal={arXiv preprint arXiv:2109.04197},
  year={2021}
}

@inproceedings{yoon2021federated,
  title={Federated continual learning with weighted inter-client transfer},
  author={Yoon, Jaehong and Jeong, Wonyong and Lee, Giwoong and Yang, Eunho and Hwang, Sung Ju},
  booktitle={International Conference on Machine Learning},
  pages={12073--12086},
  year={2021},
  organization={PMLR}
}

@article{hendryx2021federated,
  title={Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning},
  author={Hendryx, Sean M and KC, Dharma Raj and Walls, Bradley and Morrison, Clayton T},
  journal={arXiv preprint arXiv:2109.00150},
  year={2021}
}

[swagshaw]

@MagicDevilZhang Thank you, bro. I will update them.
Actually these days I am struggling in a competition and do not have enough time to update.
Luckily it will end this week. Move, let us move, bro! ⚡