Peng Sun

Orcid: 0000-0001-6221-8142

Affiliations:
  • 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 71 papers between 2017 and 2025.

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Bibliography

2025
Socially Optimal Mechanism Design for Relay-Assisted Asynchronous Federated Learning.
IEEE J. Sel. Areas Commun., October, 2025

An Incentive Framework for Task Offloading in Edge Computing Marketplaces Under Price Competition.
IEEE Trans. Mob. Comput., September, 2025

Towards Privacy-Enhanced and Robust Clustered Federated Learning.
IEEE Trans. Mob. Comput., August, 2025

H-STEP: Heuristic Stable Edge Service Entity Placement for Mobile Virtual Reality Systems.
IEEE Trans. Mob. Comput., August, 2025

Energy-Efficient UAV-Based Data Collection 3-D Trajectory Optimization With Wireless Power Transfer for Forest Monitoring.
IEEE Internet Things J., July, 2025

Incentive-Driven and Energy Efficient Federated Learning in Mobile Edge Networks.
IEEE Trans. Cogn. Commun. Netw., April, 2025

FFCBA: Feature-based Full-target Clean-label Backdoor Attacks.
CoRR, April, 2025

SFIBA: Spatial-based Full-target Invisible Backdoor Attacks.
CoRR, April, 2025

On-Orbit DNN Distributed Inference for Remote Sensing Images in Satellite Internet of Things.
IEEE Internet Things J., March, 2025

Strategic Storage Investment and Operation Under Uncertainty: Behavioral Economics Analysis.
IEEE Trans. Netw. Sci. Eng., 2025

Poisoning Attacks to Knowledge Distillation-Based Federated Learning Under Robust Aggregation Rules.
IEEE Trans. Inf. Forensics Secur., 2025

Towards Fair Federated Learning via Unbiased Feature Aggregation.
IEEE Trans. Dependable Secur. Comput., 2025

A Triple Stealthy Backdoor: Hidden in Spatial, Frequency, and Feature Domains.
IEEE Trans. Dependable Secur. Comput., 2025

SoK: On Gradient Leakage in Federated Learning.
Proceedings of the 34th USENIX Security Symposium, 2025

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

When Federated Learning Meets Knowledge Distillation.
IEEE Wirel. Commun., October, 2024

A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition.
Proc. ACM Manag. Data, September, 2024

A Socially Optimal Data Marketplace With Differentially Private Federated Learning.
IEEE/ACM Trans. Netw., June, 2024

Towards Robust and Accurate Cooperative State Estimation for Multiple Rigid Bodies.
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

Server-Initiated Federated Unlearning to Eliminate Impacts of Low-Quality Data.
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

A Blockchain-Enabled Coalitional Game Framework for Carbon Emission Trading.
IEEE Trans. Netw. Sci. Eng., 2024

AdvST: Generating Unrestricted Adversarial Images via Style Transfer.
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

BABE: Backdoor attack with bokeh effects via latent separation suppression.
Eng. Appl. Artif. Intell., 2024

SoK: Gradient Leakage in Federated Learning.
CoRR, 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

Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining.
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

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
How Should the Server Sleep? - Age-Energy Tradeoff in Sleep-Wake Server Systems.
IEEE Trans. Green Commun. Netw., December, 2023

Temporal Correlation Enhanced Multiuser Detection for Uplink Grant-Free NOMA.
IEEE Trans. Mob. Comput., April, 2023

Towards Class-Balanced Privacy Preserving Heterogeneous Model Aggregation.
IEEE Trans. Dependable Secur. Comput., 2023

Optimization Design for Federated Learning in Heterogeneous 6G Networks.
IEEE Netw., 2023

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives.
CoRR, 2023

Optimal Energy Storage Operation under Demand Uncertainty: A Prospect Theory Analysis.
Proceedings of the IEEE International Conference on Communications, 2023

Towards Transferable Targeted Adversarial Examples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Privacy-preserving Adversarial Facial Features.
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

VLEO Satellite Radio Access Network Slicing: A Hierarchical Deep Reinforcement Learning Approach.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 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

A Survey on IoT-Enabled Home Automation Systems: Attacks and Defenses.
IEEE Commun. Surv. Tutorials, 2022

A System of Remote Duty Expressway Toll Station based on Multi Queue Digital Twin and Edge Decision.
Proceedings of the 8th International Symposium on System Security, Safety, and Reliability, 2022

A Profit-Maximizing Model Marketplace with Differentially Private Federated Learning.
Proceedings of the IEEE INFOCOM 2022, 2022

FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates.
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

Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning.
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

Towards Efficient Compressive Data Collection in the Internet of Things.
CoRR, 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

Towards fair and efficient task allocation in blockchain-based crowdsourcing.
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

Attention-over-Attention Field-Aware Factorization Machine.
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


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