| Privacy Preserving API Fine-tuning for LLMs P Zmushko, M Mansurov, R Svirschevski, D Kuznedelev, M Ryabinin, ... | 1 | |
| Label Privacy in Split Learning for Large Models with Parameter-Efficient Training P Zmushko, M Mansurov, R Svirschevski, D Kuznedelev, M Ryabinin, ... arXiv preprint arXiv:2412.16669, 2024 | | 2024 |
| Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning A Semenov, P Zmushko, A Pichugin, A Beznosikov arXiv preprint arXiv:2412.11689, 2024 | | 2024 |
| FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training P Zmushko, A Beznosikov, M Takáč, S Horváth arXiv preprint arXiv:2411.07837, 2024 | | 2024 |
Aleksandr BeznosikovPhD, Moscow Institute of Physics and Technology在 phystech.edu 的电子邮件经过验证
