2025
Distributed Machine Learning in Edge Computing: Challenges, Solutions and Future Directions.
ACM Comput. Surv., May, 2025
2024
Federated Class-Incremental Learning With Dynamic Feature Extractor Fusion.
IEEE Trans. Mob. Comput., December, 2024
Joint Optimization of Pricing, Dispatching and Repositioning in Ride-Hailing With Multiple Models Interplayed Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., December, 2024
AutoSF: Adaptive Distributed Model Training in Dynamic Edge Computing.
IEEE Trans. Mob. Comput., June, 2024
Decentralized Task Offloading in Edge Computing: An Offline-to-Online Reinforcement Learning Approach.
IEEE Trans. Computers, June, 2024
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning.
ACM Trans. Knowl. Discov. Data, May, 2024
Distributed Semi-Supervised Learning With Consensus Consistency on Edge Devices.
IEEE Trans. Parallel Distributed Syst., February, 2024
E<sup>2</sup>CFD: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model.
CoRR, 2024
Multi-Source Coflow Scheduling in Collaborative Edge Computing with Multihop Network.
CoRR, 2024
RoleML: a Role-Oriented Programming Model for Customizable Distributed Machine Learning on Edges.
Proceedings of the 25th International Middleware Conference, 2024
2023
Reliable Dynamic Service Chain Scheduling in 5G Networks.
IEEE Trans. Mob. Comput., August, 2023
Optimizing Aggregation Frequency for Hierarchical Model Training in Heterogeneous Edge Computing.
IEEE Trans. Mob. Comput., July, 2023
Personalized Federated Learning on Non-IID Data via Group-based Meta-learning.
ACM Trans. Knowl. Discov. Data, May, 2023
Online Dependent Task Assignment in Preference Aware Spatial Crowdsourcing.
IEEE Trans. Serv. Comput., 2023
Non-Rejection Aware Online Task Assignment in Spatial Crowdsourcing.
IEEE Trans. Serv. Comput., 2023
Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data.
IEEE Trans. Netw. Sci. Eng., 2023
Blockchain-based Collaborative Edge Intelligence for Trustworthy and Real-Time Video Surveillance.
IEEE Trans. Ind. Informatics, 2023
FedCME: Client Matching and Classifier Exchanging to Handle Data Heterogeneity in Federated Learning.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023
2022
An Energy-efficient and Privacy-aware Decomposition Framework for Edge-assisted Federated Learning.
ACM Trans. Sens. Networks, November, 2022
Online Double Auction for Wireless Spectrum Allocation With General Conflict Graph.
IEEE Trans. Veh. Technol., 2022
A Novel Demand Dispatching Model for Autonomous On-Demand Services.
IEEE Trans. Serv. Comput., 2022
Partitioning Stateful Data Stream Applications in Dynamic Edge Cloud Environments.
IEEE Trans. Serv. Comput., 2022
EdgeTB: A Hybrid Testbed for Distributed Machine Learning at the Edge With High Fidelity.
IEEE Trans. Parallel Distributed Syst., 2022
Privacy-Preserving Context-Based Electric Vehicle Dispatching for Energy Scheduling in Microgrids: An Online Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Distributed resource scheduling in edge computing: Problems, solutions, and opportunities.
Comput. Networks, 2022
The 4th International Workshop on Network Meets Intelligent Computations (NMIC 2022): Preface.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
2021
Joint Computation Partitioning and Resource Allocation for Latency Sensitive Applications in Mobile Edge Clouds.
IEEE Trans. Serv. Comput., 2021
Network Aware Mobile Edge Computation Partitioning in Multi-User Environments.
IEEE Trans. Serv. Comput., 2021
Multi-Hop Multi-Task Partial Computation Offloading in Collaborative Edge Computing.
IEEE Trans. Parallel Distributed Syst., 2021
Exploring Deep Reinforcement Learning for Task Dispatching in Autonomous On-Demand Services.
ACM Trans. Knowl. Discov. Data, 2021
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI.
IEEE Internet Things J., 2021
Multihop Offloading of Multiple DAG Tasks in Collaborative Edge Computing.
IEEE Internet Things J., 2021
Reliable Routing and Scheduling in Time-Sensitive Networks.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021
Reliability-aware Dynamic Service Chain Scheduling in 5G Networks based on Reinforcement Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
2020
Latency-Aware Path Planning for Disconnected Sensor Networks With Mobile Sinks.
IEEE Trans. Ind. Informatics, 2020
Efficient Hybrid Data Dissemination for Edge-Assisted Automated Driving.
IEEE Internet Things J., 2020
Restoring Connectivity of Damaged Sensor Networks for Long-Term Survival in Hostile Environments.
IEEE Internet Things J., 2020
Swarm-Intelligence-Based Rendezvous Selection via Edge Computing for Mobile Sensor Networks.
IEEE Internet Things J., 2020
QoS Guaranteed Resource Allocation for Live Virtual Machine Migration in Edge Clouds.
IEEE Access, 2020
Coding based Distributed Data Shuffling for Low Communication Cost in Data Center Networks.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020
A Dynamic Partitioning Framework for Edge-Assisted Cloud Computing.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020
DP-Hybrid: A Two-Layer Consensus Protocol for High Scalability in Permissioned Blockchain.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020
2019
Understanding Mobile Users' Privacy Expectations: A Recommendation-Based Method Through Crowdsourcing.
IEEE Trans. Serv. Comput., 2019
A recommender system to address the Cold Start problem for App usage prediction.
Int. J. Mach. Learn. Cybern., 2019
Data-Aware Task Allocation for Achieving Low Latency in Collaborative Edge Computing.
IEEE Internet Things J., 2019
Revisiting Computation Partitioning in Future 5G-Based Edge Computing Environments.
IEEE Internet Things J., 2019
2018
When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing.
IEEE Trans. Serv. Comput., 2018
Joint Scheduling of Tasks and Network Flows in Big Data Clusters.
IEEE Access, 2018
ParGen: A Parallel Method for Partitioning Data Stream Applications in Mobile Edge Computing.
IEEE Access, 2018
Fast VM Startup by Cooperative Image Caching for Cloud Data Centers.
Proceedings of the 2018 IEEE SmartWorld, 2018
2017
AppBooster: Boosting the Performance of Interactive Mobile Applications with Computation Offloading and Parameter Tuning.
IEEE Trans. Parallel Distributed Syst., 2017
Application Repartitioning in the Cloud.
Computer, 2017
Edge Mesh: A New Paradigm to Enable Distributed Intelligence in Internet of Things.
IEEE Access, 2017
Network Aware Multi-User Computation Partitioning in Mobile Edge Clouds.
Proceedings of the 46th International Conference on Parallel Processing, 2017
2016
Run Time Application Repartitioning in Dynamic Mobile Cloud Environments.
IEEE Trans. Cloud Comput., 2016
Cost Aware Service Placement and Load Dispatching in Mobile Cloud Systems.
IEEE Trans. Computers, 2016
2015
Accurate and Efficient Object Tracking Based on Passive RFID.
IEEE Trans. Mob. Comput., 2015
Multi-User Computation Partitioning for Latency Sensitive Mobile Cloud Applications.
IEEE Trans. Computers, 2015
Smartphone Privacy in Mobile Computing: Issues, Methods and Systems.
Inf. Media Technol., 2015
PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations.
Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015
2014
Fault-Tolerant RFID Reader Localization Based on Passive RFID Tags.
IEEE Trans. Parallel Distributed Syst., 2014
Subscriber dynamic characteristics-based wireless network accessing bandwidth prediction.
Int. J. Mach. Learn. Cybern., 2014
Effective social relationship measurement based on user trajectory analysis.
J. Ambient Intell. Humaniz. Comput., 2014
Heuristic offloading of concurrent tasks for computation-intensive applications in mobile cloud computing.
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014
Bejo: Behavior Based Job Classification for Resource Consumption Prediction in the Cloud.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
2013
A framework for partitioning and execution of data stream applications in mobile cloud computing.
SIGMETRICS Perform. Evaluation Rev., 2013
2012
A hybrid method for achieving high accuracy and efficiency in object tracking using passive RFID.
Proceedings of the 2012 IEEE International Conference on Pervasive Computing and Communications, 2012
A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012