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cs.LG2025
Benchmarking Optimizers for Large Language Model Pretraining
Andrei Semenov, Matteo Pagliardini, Martin Jaggi
The recent development of Large Language Models (LLMs) has been accompanied by an effervescence of novel ideas and methods to better optimize the loss of deep learning models. Clai…
cs.LG2024
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
Andrei Semenov, Philip Zmushko, Alexander Pichugin +1
Vertical Federated Learning (VFL) aims to enable collaborative training of deep learning models while maintaining privacy protection. However, the VFL procedure still has component…