2 citations · 3 across the 3 of their papers we have counts for
3 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…
cs.LG2022★ 1 cited
Survey on the Convergence of Machine Learning and Blockchain
Shengwen Ding, Chenhui Hu
Machine learning (ML) has been pervasively researched nowadays and it has been applied in many aspects of real life. Nevertheless, issues of model and data still accompany the deve…