2 papers
cs.LG2026
Building a privacy-preserving Federated Recommender system for mobile devices
Aasheesh Singh
Serving personalized content on mobile devices has traditionally required pooling sensitive user data on centralized servers, a practice increasingly at odds with modern privacy ex…
cs.LG2025
ORPO-Distill: Mixed-Policy Preference Optimization for Cross-Architecture LLM Distillation
Aasheesh Singh, Vishal Vaddina, Dagnachew Birru
We introduce ORPO-Distill, a general-purpose method for cross-architecture LLM distillation that formulates the problem as a preference optimization task. Unlike standard CoT disti…