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cs.LG2024★ 3 cited
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang +10
The rise of large language models (LLMs) has created a significant disparity: industrial research labs with their computational resources, expert teams, and advanced infrastructure…
cs.LG2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
Kristjan Greenewald, Yuancheng Yu, Hao Wang +1
Training generative models with differential privacy (DP) typically involves injecting noise into gradient updates or adapting the discriminator's training procedure. As a result,…