| Async-HFL: Efficient and robust asynchronous federated learning in hierarchical IoT networks X Yu, L Cherkasova, H Vardhan, Q Zhao, E Ekaireb, X Zhang, ... Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and …, 2023 | 16 | 2023 |
| Fedhd: federated learning with hyperdimensional computing Q Zhao, K Lee, J Liu, M Huzaifa, X Yu, T Rosing Proceedings of the 28th Annual International Conference on Mobile Computing …, 2022 | 15 | 2022 |
| ns3-fl: Simulating Federated Learning with ns-3 E Ekaireb, X Yu, K Ergun, Q Zhao, K Lee, M Huzaifa, T Rosing Proceedings of the 2022 Workshop on ns-3, 97-104, 2022 | 8 | 2022 |
| Attentive Multimodal Learning on Sensor Data using Hyperdimensional Computing Q Zhao, X Yu, T Rosing Proceedings of the 22nd International Conference on Information Processing …, 2023 | 3 | 2023 |
| MultimodalHD: Federated Learning Over Heterogeneous Sensor Modalities using Hyperdimensional Computing Q Zhao, X Yu, S Hu, T Rosing 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | 1 | 2024 |
| Unleashing Hyperdimensional Computing with Nyström Method based Encoding Q Zhao, AH Thomas, X Yu, T Rosing Machine Learning with New Compute Paradigms, 0 | | |
