9 citations · 9 across the 1 of their papers we have counts for
4 papers
Hybrid Federated Learning: Algorithms and Implementation
Xinwei Zhang, Wotao Yin, Mingyi Hong +1
Federated learning (FL) is a recently proposed distributed machine learning paradigm dealing with distributed and private data sets. Based on the data partition pattern, FL is ofte…
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Ce Ju, Ruihui Zhao, Jichao Sun +11
Prevention of stroke with its associated risk factors has been one of the public health priorities worldwide. Emerging artificial intelligence technology is being increasingly adop…
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond
Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai +2
Distributed learning has become a critical enabler of the massively connected world envisioned by many. This article discusses four key elements of scalable distributed processing…
A Communication Efficient Collaborative Learning Framework for Distributed Features
Yang Liu, Yan Kang, Xinwei Zhang +5
We introduce a collaborative learning framework allowing multiple parties having different sets of attributes about the same user to jointly build models without exposing their raw…