activity
20192025
most citedAstraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

200 citations · 569 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.SE2023

Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives

Moming Duan, Qinbin Li, Linshan Jiang +1

Traditional Federated Learning (FL) follows a server-dominated cooperation paradigm which narrows the application scenarios of FL and decreases the enthusiasm of data holders to pa…

cs.LG2023★ 2 cited

Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market

Naibo Wang, Wenjie Feng, Fusheng Liu +2

The emerging availability of trained machine learning models has put forward the novel concept of Machine Learning Model Market in which one can harness the collective intelligence…