Jed Mills

According to our database, Jed Mills authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning.

Rui Jin, Jia Hu, Geyong Min, Jed Mills

IEEE Trans. Computers, November, 2023

Faster Federated Learning With Decaying Number of Local SGD Steps.

Jed Mills, Jia Hu, Geyong Min

IEEE Trans. Parallel Distributed Syst., July, 2023

Federated Ensemble Model-Based Reinforcement Learning in Edge Computing.

Jin Wang, Jia Hu, Jed Mills, Geyong Min, Ming Xia, Nektarios Georgalas

IEEE Trans. Parallel Distributed Syst., June, 2023

Accelerating Federated Learning With a Global Biased Optimiser.

Jed Mills, Jia Hu, Geyong Min, Rui Jin, Siwei Zheng, Jin Wang

IEEE Trans. Computers, June, 2023

2022

Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing.

Jed Mills, Jia Hu, Geyong Min

IEEE Trans. Parallel Distributed Syst., 2022

Client-Side Optimization Strategies for Communication-Efficient Federated Learning.

Jed Mills, Jia Hu, Geyong Min

IEEE Commun. Mag., 2022

2021

Federated Ensemble Model-based Reinforcement Learning.

Jin Wang, Jia Hu, Jed Mills, Geyong Min

CoRR, 2021

2020

Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT.

Jed Mills, Jia Hu, Geyong Min

IEEE Internet Things J., 2020

User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing.

Jed Mills, Jia Hu, Geyong Min

CoRR, 2020

Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning.

Zhengxin Yu, Jia Hu, Geyong Min, Han Xu, Jed Mills

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020