Search Results for author: Yuhan Tang

Found 3 papers, 0 papers with code

Logits Poisoning Attack in Federated Distillation

no code implementations8 Jan 2024 Yuhan Tang, Zhiyuan Wu, Bo Gao, Tian Wen, Yuwei Wang, Sheng Sun

Federated Distillation (FD) is a novel and promising distributed machine learning paradigm, where knowledge distillation is leveraged to facilitate a more efficient and flexible cross-device knowledge transfer in federated learning.

Federated Learning Knowledge Distillation +1

Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey

no code implementations25 Jan 2023 Xuan Jiang, Yuhan Tang, Zhiyi Tang, Junzhe Cao, Vishwanath Bulusu, Xin Peng, Cristian Poliziani, Raja Sengupta

Urban air mobility (UAM) has the potential to revolutionize transportation in metropolitan areas, providing a new mode of transportation that could alleviate congestion and improve accessibility.

Graph2Plan: Learning Floorplan Generation from Layout Graphs

no code implementations27 Apr 2020 Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver van Kaick, Hao Zhang, Hui Huang

The core component of our learning framework is a deep neural network, Graph2Plan, which converts a layout graph, along with a building boundary, into a floorplan that fulfills both the layout and boundary constraints.

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