Qingshuang Sun
Orcid: 0000-0002-6869-3566
According to our database1,
Qingshuang Sun
authored at least 13 papers
between 2017 and 2023.
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Bibliography
2023
ACM Trans. Embed. Comput. Syst., October, 2023
Learning controlled and targeted communication with the centralized critic for the multi-agent system.
Appl. Intell., June, 2023
Joint think locally and globally: Communication-efficient federated learning with feature-aligned filter selection.
Comput. Commun., April, 2023
Toward efficient neural architecture search with dynamic mapping-adaptive sampling for resource-limited edge device.
Neural Comput. Appl., March, 2023
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth.
CoRR, 2023
Mitigating Heterogeneities in Federated Edge Learning with Resource- independence Aggregation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
A dynamic global backbone updating for communication-efficient personalised federated learning.
Connect. Sci., 2022
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
Personalized Heterogeneity-Aware Federated Search Towards Better Accuracy and Energy Efficiency.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
2021
Brief Industry Paper: Workload-Aware GPU Performance Estimation in the Airborne Embedded System.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021
Work in Progress: Role-based Deep Reinforcement Learning with Information Sharing for Intelligent Unmanned Systems.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021
Efficient Resource-Aware Neural Architecture Search with Dynamic Adaptive Network Sampling.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
2017
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017