Jed Mills

12 papers B 1Journal 11
YearRankTypeTitle / Venue / Authors
2023 J jnl
Accelerating Federated Learning With a Global Biased Optimiser.
IEEE Trans. Computers
Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang
2023 J jnl
Faster Federated Learning With Decaying Number of Local SGD Steps.
IEEE Trans. Parallel Distributed Syst.
Jed Mills, Jia Hu, Geyong Min
2023 J jnl
Faster Federated Learning with Decaying Number of Local SGD Steps.
CoRR
Jed Mills, Jia Hu, Geyong Min
2023 J jnl
Federated Ensemble Model-Based Reinforcement Learning in Edge Computing.
IEEE Trans. Parallel Distributed Syst.
Jin Wang, Jia Hu, Jed Mills, Geyong Min, Ming Xia, Nektarios Georgalas
2023 J jnl
Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning.
IEEE Trans. Computers
Rui Jin, Jia Hu, Geyong Min, Jed Mills
2022 J jnl
Client-Side Optimization Strategies for Communication-Efficient Federated Learning.
IEEE Commun. Mag.
Jed Mills, Jia Hu, Geyong Min
2022 J jnl
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing.
IEEE Trans. Parallel Distributed Syst.
Jed Mills, Jia Hu, Geyong Min
2021 J jnl
Accelerating Federated Learning with a Global Biased Optimiser.
CoRR
Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang
2021 J jnl
Federated Ensemble Model-based Reinforcement Learning.
CoRR
Jin Wang, Jia Hu, Jed Mills, Geyong Min
2020 J jnl
Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT.
IEEE Internet Things J.
Jed Mills, Jia Hu, Geyong Min
2020 B conf
Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning.
ICPADS
Zhengxin Yu, Jia Hu, Geyong Min, Han Xu, Jed Mills
2020 J jnl
User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing.
CoRR
Jed Mills, Jia Hu, Geyong Min