Di Wu

18 papers Misc 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning.
CoRR
Yizhou Han, Di Wu, Blesson Varghese
2026 J jnl
FedFreeze: A dual-phase layer freezing framework for federated learning.
Future Gener. Comput. Syst.
Di Wu, Leon Wong, Blesson Varghese
2026 J jnl
Multi-DNN Inference of Sparse Models on Edge SoCs.
CoRR
Jiawei Luo, Di Wu, Simon Dobson, Blesson Varghese
2026 J jnl
zkVFL: Verifiable Federated Learning for Free-Rider Attacks via Efficient Zero-Knowledge Proofs.
IEEE Internet Things J.
Jiaxi Liu, Lin Sun, Tianyu Kang, Di Wu, Yulun Song, Yunlong Xie, Li Guo
2025 J jnl
DeepCon: Improving Distributed Deep Learning Model Consistency in Edge-Cloud Environments via Distillation.
IEEE Trans. Cogn. Commun. Netw.
Bin Qian, Jiaxu Qian, Zhenyu Wen, Di Wu, Shibo He, Jiming Chen, Rajiv Ranjan
2025 J jnl
EMO: Edge Model Overlays to Scale Model Size in Federated Learning.
CoRR
Di Wu, Weibo He, Wanglei Feng, Zhenyu Wen, Bin Qian, Blesson Varghese
2025 J jnl
Edge-Cloud Collaborative Streaming Video Analytics With Multi-Agent Deep Reinforcement Learning.
IEEE Netw.
Bin Qian, Yubo Xuan, Di Wu, Zhenyu Wen, Renyu Yang, Shibo He, Jiming Chen, Rajiv Ranjan
2025 — conf
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning.
KDD (1)
Zhenyu Wen, Wanglei Feng, Di Wu, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang, Shouling Ji
2024 J jnl
EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning.
IEEE Trans. Parallel Distributed Syst.
Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2024 J jnl
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning.
CoRR
Zhenyu Wen, Wanglei Feng, Di Wu, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang, Shouling Ji
2023 J jnl
Communication Efficient DNN Partitioning-based Federated Learning.
CoRR
Di Wu, Rehmat Ullah, Philip Rodgers, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2022 J jnl
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning.
IEEE Internet Things J.
Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2022 Misc conf
FedComm: Understanding Communication Protocols for Edge-based Federated Learning.
UCC
Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese
2022 J jnl
FedComm: Understanding Communication Protocols for Edge-based Federated Learning.
CoRR
Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese
2022 J jnl
FedFly: Toward Migration in Edge-Based Distributed Federated Learning.
IEEE Commun. Mag.
Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2021 J jnl
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning.
CoRR
Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2021 J jnl
FedFly: Towards Migration in Edge-based Distributed Federated Learning.
CoRR
Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor T. A. Spence, Blesson Varghese
2020 J jnl
EasyQuant: Post-training Quantization via Scale Optimization.
CoRR
Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang