Peng Sun
Orcid: 0000-0001-6221-8142Affiliations:
- Hunan University, Changsha, China
- Zhejiang University, State Key Laboratory of Industrial Control Technology, Hangzhou, China (Ph.D., 2020)
According to our database1,
Peng Sun
authored at least 54 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Does Differential Privacy Really Protect Federated Learning From Gradient Leakage Attacks?
IEEE Trans. Mob. Comput., December, 2024
Accelerating Federated Learning via Parameter Selection and Pre-Synchronization in Mobile Edge-Cloud Networks.
IEEE Trans. Mob. Comput., November, 2024
IEEE Wirel. Commun., October, 2024
A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition.
Proc. ACM Manag. Data, September, 2024
IEEE/ACM Trans. Netw., June, 2024
IEEE Trans. Veh. Technol., May, 2024
Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning.
IEEE/ACM Trans. Netw., April, 2024
Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems.
IEEE Trans. Ind. Informatics, April, 2024
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis.
IEEE Trans. Parallel Distributed Syst., March, 2024
Computation Offloading in Multi-Cell Networks With Collaborative Edge-Cloud Computing: A Game Theoretic Approach.
IEEE Trans. Mob. Comput., March, 2024
IEEE Trans. Serv. Comput., 2024
NOMA-Enabled Multiuser Offloading in Multicell Edge Computing Networks: A Coalition Game Based Approach.
IEEE Trans. Netw. Sci. Eng., 2024
IEEE Trans. Netw. Sci. Eng., 2024
IEEE Trans. Multim., 2024
Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction: From a Multi-Channel Perspective.
IEEE Trans. Inf. Forensics Secur., 2024
Eng. Appl. Artif. Intell., 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection.
CoRR, 2024
Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments.
Proceedings of the IEEE INFOCOM 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Learning from the History: Accurately and Efficiently Aggregating Geospatial Data Under Local Differential Privacy.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Green Commun. Netw., December, 2023
IEEE Trans. Mob. Comput., April, 2023
IEEE Trans. Dependable Secur. Comput., 2023
IEEE Netw., 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments.
Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023
2022
Temporal Correlation Enhanced Sparse Activity Detection in MIMO Enabled Grant-Free NOMA.
IEEE Trans. Veh. Technol., 2022
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems.
IEEE Trans. Mob. Comput., 2022
DOT: Decentralized Offloading of Tasks in OFDMA-Based Heterogeneous Computing Networks.
IEEE Internet Things J., 2022
IEEE Commun. Surv. Tutorials, 2022
A Profit-Maximizing Model Marketplace with Differentially Private Federated Learning.
Proceedings of the IEEE INFOCOM 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Trustworthy and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing Systems.
IEEE Trans. Veh. Technol., 2021
IEEE J. Sel. Areas Commun., 2021
Joint User Activity Identification and Channel Estimation for Grant-Free NOMA: A Spatial-Temporal Structure-Enhanced Approach.
IEEE Internet Things J., 2021
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning.
CoRR, 2021
Micromobility in Smart Cities: A Closer Look at Shared Dockless E-Scooters via Big Social Data.
Proceedings of the ICC 2021, 2021
2020
Toward Efficient Compressed-Sensing-Based RFID Identification: A Sparsity-Controlled Approach.
IEEE Internet Things J., 2020
SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT.
IEEE Internet Things J., 2020
CCF Trans. Netw., 2020
Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
PRSS: A Prejudiced Random Sensing Strategy for Energy-Efficient Information Collection in the Internet of Things.
IEEE Internet Things J., 2019
A 3-D Self-Calibration Method for Multiple Base Stations in Large Complex Indoor Environment.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019
A 3-D cooperative base station localization method applied in large complex indoor environment.
Proceedings of the Short Paper Proceedings of the Tenth International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers (IPIN-WiP 2019) co-located with the Tenth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2019), Pisa, Italy, September 30th, 2019
Chasing Total Solar Eclipses on Twitter: Big Social Data Analytics for Once-in-a-Lifetime Events.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Sparsest Random Sampling for Cluster-Based Compressive Data Gathering in Wireless Sensor Networks.
IEEE Access, 2018
2017
Double-Layer Compressive Sensing Based Efficient DOA Estimation in WSAN with Block Data Loss.
Sensors, 2017
Sparse Signal Aloha: A Compressive Sensing-Based Method for Uncoordinated Multiple Access.
IEEE Commun. Lett., 2017