4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 4 cited
Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings
Branislav Stojkovic, Jonathan Woodbridge, Zhihan Fang +8
The classical machine learning paradigm requires the aggregation of user data in a central location where machine learning practitioners can preprocess data, calculate features, tu…
cs.NI2018★ 2 cited
VeMo: Enabling Transparent Vehicular Mobility Modeling at Individual Levels with Full Penetration
Yu Yang, Xiaoyang Xie, Zhihan Fang +3
Understanding and predicting real-time vehicle mobility patterns on highways are essential to address traffic congestion and respond to the emergency. However, almost all existing…