Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise. - Marten van Dijk; Nhuong V. Nguyen; Toan N. Nguyen; Lam M. Nguyen; Quoc Tran-Dinh; Phuong Ha Nguyen (CoRR, 2020)

Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes. - Nhuong V. Nguyen; Toan N. Nguyen; Phuong Ha Nguyen; Quoc Tran-Dinh; Lam M. Nguyen; Marten van Dijk (AISTATS, 2021)

Differential Private Hogwild! over Distributed Local Data Sets. - Marten van Dijk; Nhuong V. Nguyen; Toan N. Nguyen; Lam M. Nguyen; Phuong Ha Nguyen (CoRR, 2021)

Generalizing DP-SGD with Shuffling and Batching Clipping. - Marten van Dijk; Phuong Ha Nguyen; Toan N. Nguyen; Lam M. Nguyen (CoRR, 2022)

Batch Clipping and Adaptive Layerwise Clipping for Differential Private Stochastic Gradient Descent. - Toan N. Nguyen; Phuong Ha Nguyen; Lam M. Nguyen; Marten van Dijk (CoRR, 2023)

Proactive DP: A Multiple Target Optimization Framework for DP-SGD. - Marten van Dijk; Nhuong V. Nguyen; Toan N. Nguyen; Lam M. Nguyen; Phuong Ha Nguyen (ICML, 2024)