Tag: privacy-utility tradeoff

Differential Privacy in Large Language Model Training: Benefits and Tradeoffs

Differential privacy adds mathematically provable privacy to LLM training by injecting noise into gradients. It prevents data memorization and meets GDPR/HIPAA standards, but slows training and reduces accuracy. Learn the tradeoffs and how to implement it.