Di Wu

Graph-Based Temporal Attention Network for Anomaly Recognition in Internet of Things Video Surveillance

IEEE Internet of Things Journal 2026cited by 3position: contributordoi

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework With Correlated Differential Privacy

IEEE Transactions on Networking 2026cited by 1position: contributordoi

Toward Efficient Wireless Federated Learning via Decoupling Over-the-Air Model Aggregation and Client Selection

IEEE Internet of Things Journal 2026cited by 0position: contributordoi

Fairness-Aware Federated Recommender Design With Heterogeneous Privacy Budgets

IEEE Transactions on Services Computing 2026cited by 0position: contributordoi

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges

ACM Computing Surveys 2025cited by 17position: contributordoi

CRS: A Cost-Aware Resource Scheduling Framework for Deep Learning Task Orchestration in Mobile Clouds

IEEE Transactions on Mobile Computing 2025cited by 5position: contributordoi

FCER: A Federated Cloud-Edge Recommendation Framework With Cluster-Based Edge Selection

IEEE Transactions on Mobile Computing 2025cited by 4position: contributordoi

Appformer: A novel framework for mobile app usage prediction leveraging progressive multi-modal data fusion and feature extraction

Expert Systems with Applications 2025cited by 3position: contributordoi

CPFedAvg: Enhancing Hierarchical Federated Learning via Optimized Local Aggregation and Parameter Mixing

IEEE Transactions on Networking 2025cited by 2position: contributordoi

REM: Enabling Real-Time Neural-Enhanced Video Streaming on Mobile Devices Using Macroblock-Aware Lookup Table

IEEE Transactions on Mobile Computing 2025cited by 2position: contributordoi

Federated Continual Graph Learning

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 2025cited by 1position: contributordoi

Local Differentially Private Release of Infinite Streams With Temporal Relevance

Proceedings of the ACM on Web Conference 2025 2025cited by 1position: contributordoi

BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation

IEEE Transactions on Services Computing 2025cited by 0position: contributordoi

GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder

IEEE Transactions on Multimedia 2025cited by 0position: contributordoi

W2CB: Online Data Acquisition Optimization With Wasserstein Contextual Combinatorial Bandits

IEEE Transactions on Services Computing 2025cited by 0position: contributordoi

CODP: Improving Differentially Private Federated Learning by Cascading and Offsetting Noises Between Iterations

IEEE Transactions on Dependable and Secure Computing 2025cited by 0position: contributordoi

WFSL: Warmup-Based Federated Sequential Learning

IEEE Internet of Things Journal 2025cited by 0position: contributordoi

AutoFL: A Bayesian Game Approach for Autonomous Client Participation in Federated Edge Learning

IEEE Transactions on Mobile Computing 2024cited by 24position: contributordoi

CSRA: Robust Incentive Mechanism Design for Differentially Private Federated Learning

IEEE Transactions on Information Forensics and Security 2024cited by 18position: contributordoi

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges

ACM Computing Surveys 2024cited by 16position: middledoi

SDSR: Optimizing Metaverse Video Streaming via Saliency-Driven Dynamic Super-Resolution

IEEE Journal on Selected Areas in Communications 2024cited by 8position: contributordoi

Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach

IEEE Transactions on Dependable and Secure Computing 2024cited by 7position: contributordoi

Lumos: Optimizing Live 360-degree Video Upstreaming via Spatial-Temporal Integrated Neural Enhancement

Proceedings of the 32nd ACM International Conference on Multimedia 2024cited by 6position: contributordoi

History-Aware Privacy Budget Allocation for Model Training on Evolving Data-Sharing Platforms

IEEE Transactions on Services Computing 2024cited by 5position: contributordoi

FedDP-SA: Boosting Differentially Private Federated Learning via Local Data Set Splitting

IEEE Internet of Things Journal 2024cited by 4position: contributordoi

DeepCTS: A Deep Reinforcement Learning Approach for AI Container Task Scheduling

Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning 2024cited by 4position: contributordoi

EdgeAdaptor: Online Configuration Adaption, Model Selection and Resource Provisioning for Edge DNN Inference Serving at Scale

IEEE Transactions on Mobile Computing 2023cited by 88position: contributordoi

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm

IEEE Transactions on Parallel and Distributed Systems 2023cited by 61position: contributordoi

Drone Swarm Path Planning for Mobile Edge Computing in Industrial Internet of Things

IEEE Transactions on Industrial Informatics 2023cited by 58position: contributordoi

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm

IEEE Transactions on Parallel and Distributed Systems 2023cited by 57position: middledoi

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