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2020 – today
- 2023
[j7]Jed Mills
, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang:
Accelerating Federated Learning With a Global Biased Optimiser. IEEE Trans. Computers 72(6): 1804-1814 (2023)- [j6]Rui Jin, Jia Hu, Geyong Min, Jed Mills:
Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning. IEEE Trans. Computers 72(11): 3314-3325 (2023) - [j5]Jin Wang, Jia Hu, Jed Mills, Geyong Min, Ming Xia, Nektarios Georgalas:
Federated Ensemble Model-Based Reinforcement Learning in Edge Computing. IEEE Trans. Parallel Distributed Syst. 34(6): 1848-1859 (2023) - [j4]Jed Mills, Jia Hu, Geyong Min:
Faster Federated Learning With Decaying Number of Local SGD Steps. IEEE Trans. Parallel Distributed Syst. 34(7): 2198-2207 (2023) - [i4]Jed Mills, Jia Hu, Geyong Min:
Faster Federated Learning with Decaying Number of Local SGD Steps. CoRR abs/2305.09628 (2023) - 2022
- [j3]Jed Mills, Jia Hu, Geyong Min:
Client-Side Optimization Strategies for Communication-Efficient Federated Learning. IEEE Commun. Mag. 60(7): 60-66 (2022) - [j2]Jed Mills, Jia Hu, Geyong Min:
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing. IEEE Trans. Parallel Distributed Syst. 33(3): 630-641 (2022) - 2021
- [i3]Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang:
Accelerating Federated Learning with a Global Biased Optimiser. CoRR abs/2108.09134 (2021) - [i2]Jin Wang, Jia Hu, Jed Mills, Geyong Min:
Federated Ensemble Model-based Reinforcement Learning. CoRR abs/2109.05549 (2021) - 2020
- [j1]Jed Mills, Jia Hu, Geyong Min:
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT. IEEE Internet Things J. 7(7): 5986-5994 (2020) - [c1]Zhengxin Yu, Jia Hu, Geyong Min, Han Xu, Jed Mills:
Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning. ICPADS 2020: 601-608 - [i1]Jed Mills, Jia Hu, Geyong Min:
User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing. CoRR abs/2007.09236 (2020)
Coauthor Index
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