Tuning without Peeking: Provable Generalization Bounds and Robust LLM Post-Training

Ismail Labiad, Mathurin Videau, Matthieu Kowalski +4

Gradient-based optimization is the workhorse of deep learning, offering efficient and scalable training via backpropagation. However, exposing gradients during training can leak se…