Federated Learning and Analytics: Industry Meets Academia

Federated Learning and Analytics: Industry Meets Academia

 

NeurIPS 2020의 Federated Learning Tutuorial 내용을 참고하여 작성

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Reference

1. P Kairouz, H. B McMahan, V. Smith, Federated Learning Tutorial, NIPS Tutorial, 2020
2. P Kairouz, H. B McMahan, B Avent, A Bellet, Advances and Open Problems in Federated Learning, 2020
3. T. Li, A. K. Sahu, A. Talwalkar, V. Smith, Federated Learning: Challenges, Methods, and Future Directions,2020
4. Zhou, Chen, Li, Multi-Task Learning: Theory, Algorithms, and Applications, SDM Tutorial, 2012
5. H. B McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas, Communication-Efficient Learning of Deep Networks from Decentralized Data, Google Inc, 2017