Nikita P. Kalinin

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
DP-λCGD: Efficient Noise Correlation for Differentially Private Model Training.
CoRR
Nikita P. Kalinin, Ryan McKenna, Rasmus Pagh, Christoph H. Lampert
2026 J jnl
Matrix Factorization for Practical Continual Mean Estimation Under User-Level Differential Privacy.
CoRR
Nikita P. Kalinin, Ali Najar, Valentin Roth, Christoph H. Lampert
2025 J jnl
Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD.
CoRR
Nikita P. Kalinin, Ryan McKenna, Jalaj Upadhyay, Christoph H. Lampert
2025 J jnl
Binned Group Algebra Factorization for Differentially Private Continual Counting.
CoRR
Monika Henzinger, Nikita P. Kalinin, Jalaj Upadhyay
2025 J jnl
Continual Release Moment Estimation with Differential Privacy.
CoRR
Nikita P. Kalinin, Jalaj Upadhyay, Christoph H. Lampert
2025 J jnl
DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning.
CoRR
Mihaela Hudisteanu, Nikita P. Kalinin, Edwige Cyffers
2025 J jnl
Learning Rate Scheduling with Matrix Factorization for Private Training.
CoRR
Nikita P. Kalinin, Joel Daniel Andersson
2025 J jnl
Normalized Square Root: Sharper Matrix Factorization Bounds for Differentially Private Continual Counting.
CoRR
Monika Henzinger, Nikita P. Kalinin, Jalaj Upadhyay
2024 A* conf
Banded Square Root Matrix Factorization for Differentially Private Model Training.
NeurIPS
Nikita P. Kalinin, Christoph H. Lampert
2024 J jnl
Banded Square Root Matrix Factorization for Differentially Private Model Training.
CoRR
Nikita P. Kalinin, Christoph Lampert
2024 J jnl
DP-KAN: Differentially Private Kolmogorov-Arnold Networks.
CoRR
Nikita P. Kalinin, Simone Bombari, Hossein Zakerinia, Christoph H. Lampert
2024 J jnl
Notes on Sampled Gaussian Mechanism.
CoRR
Nikita P. Kalinin