Federated learning meets fairness and differential privacy
Deep learning's unprecedented success raises several ethical concerns ranging from
biased predictions to data privacy. Researchers tackle these issues by introducing fairness …
biased predictions to data privacy. Researchers tackle these issues by introducing fairness …
Federated Learning Meets Fairness and Differential Privacy
M Padala, S Damle, S Gujar - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Deep learning's unprecedented success raises several ethical concerns ranging from
biased predictions to data privacy. Researchers tackle these issues by introducing fairness …
biased predictions to data privacy. Researchers tackle these issues by introducing fairness …
Federated Learning Meets Fairness and Differential Privacy
M Padala, S Damle, S Gujar - arXiv preprint arXiv:2108.09932, 2021 - arxiv.org
Deep learning's unprecedented success raises several ethical concerns ranging from
biased predictions to data privacy. Researchers tackle these issues by introducing fairness …
biased predictions to data privacy. Researchers tackle these issues by introducing fairness …