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2020 – today
- 2024
[c6]Quanling Zhao, Xiaofan Yu, Shengfan Hu, Tajana Rosing:
MultimodalHD: Federated Learning Over Heterogeneous Sensor Modalities using Hyperdimensional Computing. DATE 2024: 1-6- [c5]Run Wang
, Shirley Bian, Xiaofan Yu, Quanling Zhao, Le Zhang, Tajana Rosing:
Poster: Resource-Efficient Environmental Sound Classification Using Hyperdimensional Computing. SenSys 2024: 899-900 - 2023
- [c4]Xiaofan Yu, Lucy Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing:
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. IoTDI 2023: 236-248 - [c3]Quanling Zhao, Xiaofan Yu, Tajana Rosing:
Poster Abstract: Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing. IPSN 2023: 312-313 - [i1]Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing:
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. CoRR abs/2301.06646 (2023) - 2022
- [c2]Quanling Zhao, Kai Lee, Jeffrey Liu, Muhammad Huzaifa, Xiaofan Yu, Tajana Rosing:
FedHD: federated learning with hyperdimensional computing. MobiCom 2022: 791-793 - [c1]Emily Ekaireb, Xiaofan Yu, Kazim Ergun, Quanling Zhao, Kai Lee, Muhammad Huzaifa, Tajana Rosing:
ns3-fl: Simulating Federated Learning with ns-3. WNS3 2022: 97-104
Coauthor Index
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