Di Wu

According to our database, Di Wu authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning.

Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese

IEEE Trans. Parallel Distributed Syst., March, 2024

2023

Communication Efficient DNN Partitioning-based Federated Learning.

Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese

CoRR, 2023

2022

FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning.

Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese

IEEE Internet Things J., 2022

FedFly: Toward Migration in Edge-Based Distributed Federated Learning.

Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese

IEEE Commun. Mag., 2022

FedComm: Understanding Communication Protocols for Edge-based Federated Learning.

Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

2021

FedFly: Towards Migration in Edge-based Distributed Federated Learning.

Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese

CoRR, 2021

2020

EasyQuant: Post-training Quantization via Scale Optimization.

Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang

CoRR, 2020