2 papers
cs.LG2026
Lightweight Fairness for LLM-Based Recommendations via Kernelized Projection and Gated Adapters
Nan Cui, Wendy Hui Wang, Yue Ning
Large Language Models (LLMs) have introduced new capabilities to recommender systems, enabling dynamic, context-aware, and conversational recommendations. However, LLM-based recomm…
cs.LG2024
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
Jinglong Luo, Guanzhong Chen, Yehong Zhang +6
With the growing deployment of pre-trained models like Transformers on cloud platforms, privacy concerns about model parameters and inference data are intensifying. Existing Privac…