Di Wu

Andrews University — United States

Computer Science · Physical Sciences

6h-index196citations17works4.92yr avg
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Research Topics

Privacy-Preserving Technologies in Data(6), Semantic Web and Ontologies(4), Stochastic Gradient Optimization Techniques(4), Cryptography and Data Security(2), IoT and Edge/Fog Computing(2)

Publications17 total

zkVFL: Verifiable Federated Learning for Free-Rider Attacks via Efficient Zero-Knowledge Proofs
IEEE Internet of Things Journal·2025Open Access
FedFreeze: A dual-phase layer freezing framework for federated learning
Future Generation Computer Systems·2025Open Access
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
2025· 10 citedOpen Access
<scp>FLMarket:</scp> Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning
2025· 1 cited
DeepCon: Improving Distributed Deep Learning Model Consistency in Edge-Cloud Environments via Distillation
IEEE Transactions on Cognitive Communications and Networking·2025· 2 cited
Event Type and Relationship Extraction Based on Dependent Syntactic Semantic Augmented Graph Networks
IEEE Access·2025Open Access
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
ArXiv.org·2024· 2 citedOpen Access
Edge-Cloud Collaborative Streaming Video Analytics With Multi-Agent Deep Reinforcement Learning
IEEE Network·2024· 21 cited
Event Type and Relationship Extraction Based on Dependent Syntactic Semantic Augmented Graph Networks
2024· 1 citedOpen Access
EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning
IEEE Transactions on Parallel and Distributed Systems·2024· 12 citedOpen Access
FedComm: Understanding Communication Protocols for Edge-based Federated Learning
2022· 10 cited
FedFly: Toward Migration in Edge-Based Distributed Federated Learning
IEEE Communications Magazine·2022· 9 citedOpen Access
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
IEEE Internet of Things Journal·2022· 126 citedOpen Access
Target-Driven Autonomous Robot Exploration in Mappless Indoor Environments Through Deep Reinforcement Learning
Communications in computer and information science·2022· 1 cited
Background Subtraction Based on Visual Saliency
Communications in computer and information science·2022
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
arXiv (Cornell University)·2020· 1 citedOpen Access
Probabilistic Verification of Uncertain Systems Using Bounded-Parameter Markov Decision Processes
2008

Frequent Co-authors

Blesson Varghese(5), Rehmat Ullah(4), Peter Kilpatrick(3), Ivor Spence(3), Bin Qian(3), Zhenyu Wen(3), Paul Harvey(2), Shibo He(2), Jiming Chen(2), Rajiv Ranjan(2), Kun Wu(2), Chengkai Hou(2), Jiaming Liu(2), Zhengping Che(2), Xiaozhu Ju(2), Zichen Yang(2), Meng Li(2), Yinuo Zhao(2), Zhiyuan Xu(2), Shichao Fan(2)