| Ibm federated learning: an enterprise framework white paper v0. 1 H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ... arXiv preprint arXiv:2007.10987, 2020 | 129 | 2020 |
| Mitigating bias in federated learning A Abay, Y Zhou, N Baracaldo, S Rajamoni, E Chuba, H Ludwig arXiv preprint arXiv:2012.02447, 2020 | 80 | 2020 |
| Privacy-preserving vertical federated learning R Xu, N Baracaldo, Y Zhou, A Abay, A Anwar Federated Learning: A Comprehensive Overview of Methods and Applications …, 2022 | 3 | 2022 |
| Addressing unique fairness obstacles within federated learning A Abay, E Chuba, Y Zhou, N Baracaldo, H Ludwig AAAI RDAI-2021, 2021 | 2 | 2021 |
| Grouped aggregation in federated learning A Anwar, Y Zhou, NB Angel, XU Runhua, YJ Ong, AK Abay, HH Ludwig, ... US Patent App. 17/807,871, 2023 | | 2023 |
| Tokenized federated learning A Anwar, SA Zawad, Y Zhou, NB Angel, KMN Varma, A Abay, E Chuba, ... US Patent App. 17/373,611, 2023 | | 2023 |
| Federated Learning and Fairness A Abay, Y Zhou, N Baracaldo, H Ludwig Federated Learning: A Comprehensive Overview of Methods and Applications …, 2022 | | 2022 |
