Zawad, S., Ali, A., Chen, P.-Y., Anwar, A., Zhou, Y., Baracaldo, N., Tian, Y., and Yan, F. Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. Retrieved from https://par.nsf.gov/biblio/10313785. AAAI Conference on Artificial Intelligence (AAAI 2021) .
Zawad, S., Ali, A., Chen, P.-Y., Anwar, A., Zhou, Y., Baracaldo, N., Tian, Y., & Yan, F. Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI Conference on Artificial Intelligence (AAAI 2021), (). Retrieved from https://par.nsf.gov/biblio/10313785.
Zawad, S., Ali, A., Chen, P.-Y., Anwar, A., Zhou, Y., Baracaldo, N., Tian, Y., and Yan, F.
"Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning". AAAI Conference on Artificial Intelligence (AAAI 2021) (). Country unknown/Code not available. https://par.nsf.gov/biblio/10313785.
@article{osti_10313785,
place = {Country unknown/Code not available},
title = {Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning},
url = {https://par.nsf.gov/biblio/10313785},
abstractNote = {},
journal = {AAAI Conference on Artificial Intelligence (AAAI 2021)},
author = {Zawad, S. and Ali, A. and Chen, P.-Y. and Anwar, A. and Zhou, Y. and Baracaldo, N. and Tian, Y. and Yan, F.},
}
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