68 citations · 78 across the 7 of their papers we have counts for
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3 papers · 1 filter
cs.LG2022★ 1 cited
Revisiting Hyperparameter Tuning with Differential Privacy
Youlong Ding, Xueyang Wu
Hyperparameter tuning is a common practice in the application of machine learning but is a typically ignored aspect in the literature on privacy-preserving machine learning due to…
cs.CV2022★ 6 cited
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application
Youlong Ding, Xueyang Wu, Zhitao Li +5
Recently, the artificial intelligence of things (AIoT) has been gaining increasing attention, with an intriguing vision of providing highly intelligent services through the network…
cs.LG2022★ 2 cited
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning
Xueyang Wu, Shengqi Tan, Qian Xu +1
Federated learning, as a privacy-preserving collaborative machine learning paradigm, has been gaining more and more attention in the industry. With the huge rise in demand, there h…