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

2 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2024★ 2 cited

OFL-W3: A One-shot Federated Learning System on Web 3.0

Linshan Jiang, Moming Duan, Bingsheng He +4

Federated Learning (FL) addresses the challenges posed by data silos, which arise from privacy, security regulations, and ownership concerns. Despite these barriers, FL enables the…

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…