Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
Publication
, Conference
Luo, B; Xiao, W; Wang, S; Huang, J; Tassiulas, L
Published in: IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
May 2, 2022
Duke Scholars
Published In
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
DOI
Publication Date
May 2, 2022
Start / End Page
1739 / 1748
Publisher
IEEE
Conference Name
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
Citation
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Luo, B., Xiao, W., Wang, S., Huang, J., & Tassiulas, L. (2022). Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. In IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (pp. 1739–1748). IEEE. https://doi.org/10.1109/infocom48880.2022.9796935
Luo, Bing, Wenli Xiao, Shiqiang Wang, Jianwei Huang, and Leandros Tassiulas. “Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling.” In IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, 1739–48. IEEE, 2022. https://doi.org/10.1109/infocom48880.2022.9796935.
Luo B, Xiao W, Wang S, Huang J, Tassiulas L. Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. In: IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. IEEE; 2022. p. 1739–48.
Luo, Bing, et al. “Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling.” IEEE INFOCOM 2022 - IEEE Conference on Computer Communications, IEEE, 2022, pp. 1739–48. Crossref, doi:10.1109/infocom48880.2022.9796935.
Luo B, Xiao W, Wang S, Huang J, Tassiulas L. Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. IEEE; 2022. p. 1739–1748.
Published In
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
DOI
Publication Date
May 2, 2022
Start / End Page
1739 / 1748
Publisher
IEEE
Conference Name
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications