Nikita P. Kalinin

According to our database, Nikita P. Kalinin authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Beyond Square Roots: Explicit Memory-Efficient Factorization for Multi-Epoch Private Learning.

Nikita P. Kalinin, Aki Rehn, Joel Daniel Andersson, Antti Honkela, Christoph H. Lampert

CoRR, May, 2026

Population Risk Bounds for Kolmogorov-Arnold Networks Trained by DP-SGD with Correlated Noise.

Puyu Wang, Jan Schuchardt, Nikita P. Kalinin, Junyu Zhou, Sophie Fellenz, Christoph Lampert, Marius Kloft

CoRR, May, 2026

DP-λCGD: Efficient Noise Correlation for Differentially Private Model Training.

Nikita P. Kalinin, Ryan McKenna, Rasmus Pagh, Christoph H. Lampert

CoRR, January, 2026

Matrix Factorization for Practical Continual Mean Estimation Under User-Level Differential Privacy.

Nikita P. Kalinin, Ali Najar, Valentin Roth, Christoph H. Lampert

CoRR, January, 2026

Learning Rate Scheduling with Matrix Factorization for Private Training.

Nikita P. Kalinin, Joel Daniel Andersson

Proceedings of the 7th Symposium on Foundations of Responsible Computing, 2026

Normalized Square Root: Sharper Matrix Factorization Bounds for Differentially Private Continual Counting (Extended Abstract).

Monika Henzinger, Nikita P. Kalinin, Jalaj Upadhyay

Proceedings of the 7th Symposium on Foundations of Responsible Computing, 2026

2025

DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning.

Mihaela Hudisteanu, Nikita P. Kalinin, Edwige Cyffers

CoRR, November, 2025

Normalized Square Root: Sharper Matrix Factorization Bounds for Differentially Private Continual Counting.

Monika Henzinger, Nikita P. Kalinin, Jalaj Upadhyay

CoRR, September, 2025

Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD.

Nikita P. Kalinin, Ryan McKenna, Jalaj Upadhyay, Christoph H. Lampert

CoRR, May, 2025

Binned Group Algebra Factorization for Differentially Private Continual Counting.

Monika Henzinger, Nikita P. Kalinin, Jalaj Upadhyay

CoRR, April, 2025

Continual Release Moment Estimation with Differential Privacy.

Nikita P. Kalinin, Jalaj Upadhyay, Christoph H. Lampert

CoRR, February, 2025

2024

Notes on Sampled Gaussian Mechanism.

Nikita P. Kalinin

CoRR, 2024

DP-KAN: Differentially Private Kolmogorov-Arnold Networks.

Nikita P. Kalinin, Simone Bombari, Hossein Zakerinia, Christoph H. Lampert

CoRR, 2024

Banded Square Root Matrix Factorization for Differentially Private Model Training.

Nikita P. Kalinin, Christoph H. Lampert

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024