Personal profile
Research interests
My research focuses on the intersection of machine learning (ML) and edge computing, where I develop ML systems for both training and inference that seamlessly collaborate with end devices and edge nodes. However, these systems face challenges such as high computational and communication overhead, resource constraints, and heterogeneous environments. My current research aims to address these issues by developing system-level solutions.
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Collaborations and top research areas from the last five years
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FedAdapt: adaptive offloading for IoT devices in federated learning
Wu, D., Ullah, R., Harvey, P., Kilpatrick, P., Spence, I. & Varghese, B., 1 Nov 2022, In: IEEE Internet of Things Journal. 9, 21, p. 20889-20901 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
FedFreeze: a dual-phase layer freezing framework for federated learning
Wu, D., Wong, L. & Varghese, B., Apr 2026, In: Future Generation Computer Systems. 177, p. 1-14 14 p., 108250.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
EMO: Edge Model Overlays to scale model size in federated learning
Wu, D., He, W., Feng, W., Wen, Z., Qian, B. & Varghese, B., 21 Jul 2025, p. 1-6. 6 p.Research output: Contribution to conference › Poster › peer-review
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EcoFed: efficient communication for DNN partitioning-based federated learning
Wu, D., Ullah, R., Rodgers, P., Kilpatrick, P., Spence, I. & Varghese, B., 4 Jan 2024, In: IEEE Transactions on Parallel and Distributed Systems. Early Access, 13 p., 10380682.Research output: Contribution to journal › Article › peer-review
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FedComm: understanding communication protocols for edge-based federated learning
Cleland, G., Wu, D., Ullah, R. & Varghese, B., 14 Mar 2023, 2022 IEEE/ACM 15th international conference on utility and cloud computing (UCC 2022). Piscataway, NJ: IEEE Computer Society, p. 71-81 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Datasets
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FedFreeze: A Dual-Phase Layer-Freezing Framework for Federated Learning (Code/Dataset)
Wu, D. (Creator), University of St Andrews, 4 Dec 2025
https://github.com/blessonvar/FedFreeze
Dataset: Software
Thesis
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Distributed machine learning on edge computing systems
Wu, D. (Author), Varghese, B. (Supervisor), 3 Dec 2024Student thesis: Doctoral Thesis (PhD)