| Asynchronous federated learning with reduced number of rounds and with differential privacy from less aggregated gaussian noise M van Dijk, NV Nguyen, TN Nguyen, LM Nguyen, Q Tran-Dinh, ... arXiv preprint arXiv:2007.09208, 2020 | 31 | 2020 |
| Hogwild! over distributed local data sets with linearly increasing mini-batch sizes M van Dijk, NV Nguyen, TN Nguyen, LM Nguyen, Q Tran-Dinh, ... arXiv preprint arXiv:2010.14763, 2020 | 3 | 2020 |
| Batch Clipping and Adaptive Layerwise Clipping for Differential Private Stochastic Gradient Descent TN Nguyen, PH Nguyen, LM Nguyen, M Van Dijk arXiv preprint arXiv:2307.11939, 2023 | 1 | 2023 |
| Generalizing DP-SGD with Shuffling and Batching Clipping. M van Dijk, PH Nguyen, TN Nguyen, LM Nguyen arXiv preprint arXiv:2212.05796, 2022 | 1 | 2022 |
| Generalizing DP-SGD with Shuffling and Batch Clipping M van Dijk, PH Nguyen, TN Nguyen, LM Nguyen arXiv preprint arXiv:2212.05796, 2022 | | 2022 |
| On the Tightness of the Moment Accountant for DP-SGD M van Dijk, NV Nguyen, TN Nguyen, LM Nguyen, PH Nguyen arXiv preprint arXiv:2102.09030, 2021 | | 2021 |
| BRINGING DIFFERENTIAL PRIVATE SGD TO PRACTICE: ON THE INDEPENDENCE OF GAUSSIAN NOISE AND THE NUMBER OF TRAINING ROUNDS M van Dijk, NV Nguyen, TN Nguyen, LM Nguyen, PH Nguyen arXiv preprint arXiv:2102.09030, 2021 | | 2021 |
