Inverse Distance Aggregation for Federated Learning with Non-IID Data-Reference-Cited by-同舟云学术

Inverse Distance Aggregation for Federated Learning with Non-IID Data

Published:2020 Issue: Volume: Page:150-159
ISSN:0302-9743
Container-title:Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning
language:
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Author:

Yeganeh Yousef,Farshad Azade,Navab Nassir,Albarqouni Shadi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-60548-3_15

Reference33 articles.

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3. Chen, Y., Sun, X., Jin, Y.: Communication-efficient federated deep learning with layerwise asynchronous model update and temporally weighted aggregation. IEEE Trans. Neural Netw. Learn. Syst. (2019)

4. Corinzia, L., Buhmann, J.M.: Variational federated multi-task learning. arXiv preprint arXiv:1906.06268 (2019)

5. Hsieh, K., Phanishayee, A., Mutlu, O., Gibbons, P.B.: The Non-IID data quagmire of decentralized machine learning. arXiv preprint arXiv:1910.00189 (2019)

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