3 citations · 4 across the 10 of their papers we have counts for
4 papers · 1 filter
FLoKD: Adaptive Knowledge Distillation for Federated Low-Rank LLM over Wireless Networks
Xinlu Zhang, Na Yan, Yang Su +2
Large language models (LLMs) have demonstrated strong capabilities across a wide range of natural language processing tasks. However, conventional fine-tuning typically relies on c…
GRACE: Generative Recommender Acceleration Engine for Real-Time Ads Retrieval
Zhou Fang, Yuhang Huang, Ang Zhang +12
Productionizing generative recommenders for high-volume, real-time ads retrieval creates two serving challenges: eligibility, ensuring that each generated ad is eligible for the re…
Experience Graphs: The Data Foundation for Self-Improving Agents
Gang Liao, Yujia He, Abdullah Ozturk +22
The database community has repeatedly advanced the state of the art by recognizing that new workloads demand new system architectures. We argue that long-horizon agentic tasks -- c…
CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters
Shaoyuan Huang, Yunfeng Zhao, Na Yan +5
As Large Language Models (LLMs) are increasingly adopted in edge intelligence to power domain-specific applications and personalized services, the quality and efficiency of the LLM…