2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
eFedLLM: Efficient LLM Inference Based on Federated Learning
Shengwen Ding, Chenhui Hu
Large Language Models (LLMs) herald a transformative era in artificial intelligence (AI). However, the expansive scale of data and parameters of LLMs requires high-demand computati…
cs.LG2022★ 2 cited
An Investigation of Smart Contract for Collaborative Machine Learning Model Training
Shengwen Ding, Chenhui Hu
Machine learning (ML) has penetrated various fields in the era of big data. The advantage of collaborative machine learning (CML) over most conventional ML lies in the joint effort…