Xiaoyi Pang

Orcid: 0000-0002-2763-2695

According to our database1, Xiaoyi Pang authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Does Differential Privacy Really Protect Federated Learning From Gradient Leakage Attacks?
IEEE Trans. Mob. Comput., December, 2024

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

Location and Bid Privacy Preserving-Based Quality-Aware Worker Recruitment Scheme in MCS.
IEEE Internet Things J., June, 2024

Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning.
IEEE/ACM Trans. Netw., April, 2024

Location Privacy-Aware Task Offloading in Mobile Edge Computing.
IEEE Trans. Mob. Comput., March, 2024

Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments.
Proceedings of the IEEE INFOCOM 2024, 2024

Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning.
Proceedings of the IEEE INFOCOM 2024, 2024

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

Towards Fairness-aware Adversarial Network Pruning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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
Towards Personalized Privacy-Preserving Truth Discovery Over Crowdsourced Data Streams.
IEEE/ACM Trans. Netw., 2022

Privacy-Preserving Streaming Truth Discovery in Crowdsourcing With Differential Privacy.
IEEE Trans. Mob. Comput., 2022

Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems.
IEEE Trans. Mob. Comput., 2022

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

Privacy-preserving task allocation for edge computing-based mobile crowdsensing.
Comput. Electr. Eng., 2022

Towards Online Privacy-preserving Computation Offloading in Mobile Edge Computing.
Proceedings of the IEEE INFOCOM 2022, 2022

2020
Towards fair and efficient task allocation in blockchain-based crowdsourcing.
CCF Trans. Netw., 2020

Towards Pattern-aware Privacy-preserving Real-time Data Collection.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
Privacy-Preserving Crowd-Sourced Statistical Data Publishing with An Untrusted Server.
IEEE Trans. Mob. Comput., 2019

When Mobile Crowdsensing Meets Privacy.
IEEE Commun. Mag., 2019


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