165 citations · 226 across the 9 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.DC2020★ 22 cited
Dynamic Fusion based Federated Learning for COVID-19 Detection
Weishan Zhang, Tao Zhou, Qinghua Lu +6
Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, sharing diagnostic images…
cs.DC2020★ 18 cited
Blockchain-based Federated Learning for Device Failure Detection in Industrial IoT
Weishan Zhang, Qinghua Lu, Qiuyu Yu +6
Device failure detection is one of most essential problems in industrial internet of things (IIoT). However, in conventional IIoT device failure detection, client devices need to u…
cs.SE2020★ 165 cited
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective
Sin Kit Lo, Qinghua Lu, Chen Wang +2
Federated learning is an emerging machine learning paradigm where clients train models locally and formulate a global model based on the local model updates. To identify the state-…