| Adaptive federated learning in resource constrained edge computing systems S Wang, T Tuor, T Salonidis, KK Leung, C Makaya, T He, K Chan IEEE journal on selected areas in communications 37 (6), 1205-1221, 2019 | 2134 | 2019 |
| When edge meets learning: Adaptive control for resource-constrained distributed machine learning S Wang, T Tuor, T Salonidis, KK Leung, C Makaya, T He, K Chan IEEE INFOCOM 2018-IEEE conference on computer communications, 63-71, 2018 | 586 | 2018 |
| Overcoming noisy and irrelevant data in federated learning T Tuor, S Wang, BJ Ko, C Liu, KK Leung 2020 25th International Conference on Pattern Recognition (ICPR), 5020-5027, 2021 | 144 | 2021 |
| Demonstration of federated learning in a resource-constrained networked environment D Conway-Jones, T Tuor, S Wang, KK Leung 2019 IEEE international conference on smart computing (SMARTCOMP), 484-486, 2019 | 42 | 2019 |
| Demo abstract: Distributed machine learning at resource-limited edge nodes T Tuor, S Wang, T Salonidis, BJ Ko, KK Leung IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018 | 36 | 2018 |
| Data selection for federated learning with relevant and irrelevant data at clients T Tuor, S Wang, BJ Ko, C Liu, KK Leung arXiv preprint arXiv:2001.08300, 64, 2020 | 31 | 2020 |
| Distributed machine learning in coalition environments: overview of techniques T Tuor, S Wang, KK Leung, K Chan 2018 21st International Conference on Information Fusion (FUSION), 814-821, 2018 | 13 | 2018 |
| Online collection and forecasting of resource utilization in large-scale distributed systems T Tuor, S Wang, KK Leung, BJ Ko 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 11 | 2019 |
| Federated learning of clients T Tuor, S Wang, C Liu, BJ Ko, WH Lee US Patent 11,461,593, 2022 | 7 | 2022 |
| Adaptive asynchronous federated learning S Wang, T Tuor, C Liu, TF Le US Patent 11,574,254, 2023 | 3 | 2023 |
| Continual Learning Without Knowing Task Identities: Do Simple Models Work? T Tuor, S Wang, K Leung | 3 | 2021 |
| Asynchronous collaborative learning across data silos T Tuor, J Lockhart, D Magazzeni Proceedings of the Second ACM International Conference on AI in Finance, 1-8, 2021 | 2 | 2021 |
| Understanding information leakage of distributed inference with deep neural networks: overview of information theoretic approach and initial results T Tuor, S Wang, KK Leung, BJ Ko Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2018 | 1 | 2018 |
| Distributed machine learning at edge nodes S Wang, T Tuor, T Salonidis, C Makaya, BJ Ko US Patent 11,836,576, 2023 | | 2023 |
| 13 Optimized Federated Learning in Wireless Networks with Constrained Resources S Wang, T Tuor, KK Leung Machine Learning and Wireless Communications, 385, 2022 | | 2022 |
| Efficient and Robust Federated Learning with Diverse and Dynamic Data T Tuor Imperial College London, 2021 | | 2021 |
Shiqiang WangIBM T. J. Watson Research CenterBestätigte E-Mail-Adresse bei us.ibm.com