14 citations · 22 across the 3 of their papers we have counts for
3 papers
cs.DC2023★ 6 cited
Low-Parameter Federated Learning with Large Language Models
Jingang Jiang, Xiangyang Liu, Chenyou Fan
We study few-shot Natural Language Understanding (NLU) tasks with Large Language Models (LLMs) in federated learning (FL) scenarios. It is a challenging task due to limited labeled…
cs.AI2023★ 2 cited
Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering
Xiangyang Liu, Tianqi Pang, Chenyou Fan
We investigate how to enhance answer precision in frequently asked questions posed by distributed users using cloud-based Large Language Models (LLMs). Our study focuses on a typic…
cs.AI2013★ 14 cited
A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization
Hui Miao, Xiangyang Liu, Bert Huang +1
In modern data science problems, techniques for extracting value from big data require performing large-scale optimization over heterogenous, irregularly structured data. Much of t…