Publications

FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity (ICLR 2024)

Kai Yi, Nidham Gazagnadou, Peter Richtárik, Lingjuan Lyu

Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? (spotlight, NeurIPS 2023)

Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng

On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space (preprint)

Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu

RidgeSketch: A Fast Sketching Based Solver for Large Scale Ridge Regression (SIMAX 2022)

Nidham Gazagnadou, Mark Ibrahim, Robert M. Gower

Cutting some slack for SGD with adaptive Polyak stepsizes (preprint)

Robert M Gower, Mathieu Blondel, Nidham Gazagnadou, Fabian Pedregosa

Expected smoothness for stochastic variance-reduced methods and sketch-and-project methods for structured linear systems (PhD thesis)

Nidham Gazagnadou

Towards closing the gap between the theory and practice of SVRG (NeurIPS 2019)

Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis Bach, Robert M. Gower

Optimal Mini-Batch and Step Sizes for SAGA (ICML 2019)

Nidham Gazagnadou, Robert M. Gower, Joseph Salmon