Tiffany Tuor
Cited by
Cited by
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
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
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
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
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
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
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
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
Federated learning of clients
T Tuor, S Wang, C Liu, BJ Ko, WH Lee
US Patent 11,461,593, 2022
Continual Learning Without Knowing Task Identities: Do Simple Models Work?
T Tuor, S Wang, K Leung
Adaptive asynchronous federated learning
S Wang, T Tuor, C Liu, TF Le
US Patent 11,574,254, 2023
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
Distributed machine learning at edge nodes
S Wang, T Tuor, T Salonidis, C Makaya, BJ Ko
US Patent 11,836,576, 2023
13 Optimized Federated Learning in Wireless Networks with Constrained Resources
S Wang, T Tuor, KK Leung
Machine Learning and Wireless Communications, 385, 2022
Efficient and Robust Federated Learning with Diverse and Dynamic Data
T Tuor
Imperial College London, 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
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