54 citations · 80 across the 5 of their papers we have counts for
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cs.LG2022★ 2 cited
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
Ruixing Zhang, Liangzhe Han, Boyi Liu +2
Recent years have witnessed a rapid growth of applying deep spatiotemporal methods in traffic forecasting. However, the prediction of origin-destination (OD) demands is still a cha…
cs.LG2021★ 11 cited
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges
Zhaohua Zheng, Yize Zhou, Yilong Sun +3
Federated learning plays an important role in the process of smart cities. With the development of big data and artificial intelligence, there is a problem of data privacy protecti…
cs.LG2020★ 4 cited
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning
Boyi Liu, Bingjie Yan, Yize Zhou +2
Federated Learning (FL) creates an ecosystem for multiple agents to collaborate on building models with data privacy consideration. The method for contribution measurement of each…