Qianpiao Ma (马千飘)

Qianpiao Ma (马千飘)

Associate Professor, Nanjing University of Science and Technology

📜 About

I am an Associate Professor at the School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), affiliated with Prof. Junlong Zhou's research team. I received my Ph.D. at the School of Computer Science and Technology, University of Science and Technology of China (USTC) in June 2022, supervised by Prof. Hongli Xu and Prof. Liusheng Huang. Prior to that, I received my B.S. degree from USTC in 2014. From July 2022 to July 2024, I served as a post-doctoral researcher at Purple Mountain Laboratories. I have published more than ten papers in top journals and conferences, including IEEE JSAC, IEEE TMC, IEEE INFOCOM, IEEE/ACM ToN. My research interests include edge intelligence, federated learning, and distributed machine learning.

🎓 Experience

2024.08 - nowNanjing University of Science and TechnologyAssociate Professor
2022.07 - 2024.07Purple Mountain LaboratoriesPost-doctoral Researcher
2019.09 - 2022.06University of Science and Technology of China, USTC-INT GroupPh.D.
2017.09 - 2019.06University of Science and Technology of China, USTC-INT GroupM.S.
2010.09 - 2014.06University of Science and Technology of ChinaB.S.

📰 News

🎉 2024.12One paper "Air-FedGA" about federated learning via over-the-air computation accepted by IPDPS 2025.
🎉 2024.12My co-author's paper "COACH" about end-cloud collaborative inference accepted by INFOCOM 2025.
🎉 2024.08One National Natural Science Foundation of China Youth Project is granted.
🎉 2024.05One paper "SC-ADFL" about asynchronous decentralized federated learning accepted by WASA 2024.
🎉 2024.04My co-author's paper "FedACS" about client selection in federated learning accepted by IEEE/ACM IWQoS.
🎉 2024.02One paper "FedUC" about unified clustering for hierarchical federated learning accepted by IEEE TMC.
🎉 2024.02One paper "FedCD" about hybrid federated learning framework accepted by IEEE IoTJ.
🎉 2023.11One paper "FDTO" about fully distributed task offloading in VEC accepted by IEEE TVT.
🎉 2023.11One paper "FedGA" about group asynchronous federated learning accepted by Journal on Communications.
🎉 2023.10One paper "FRACTAL" about topology construction for decentralized federated learning accepted by IEEE TBD.
🎉 2023.10My co-author's paper "YOGA" about decentralized federated aggregation accepted by IEEE/ACM TON.

📚 Publications

  • Qianpiao Ma, Yang Xu, Hongli Xu, Zhida Jiang, Liusheng Huang, He Huang, “FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing”, IEEE Journal on Selected Areas in Communications (JSAC) , 2021, 39(12): 3654-3672. (CCF-A, 中科院一区)[Link][PDF][BIB]
  • Qianpiao Ma, Yang Xu, Hongli Xu, Jianchun Liu, Liusheng Huang, “FedUC: A Unified Clustering Approach for Hierarchical Federated Learning”, IEEE Transactions on Mobile Computing (TMC), 2024, 23(10): 9737-9756. (CCF-A)[Link][PDF][BIB]
  • Qianpiao Ma, Junlong Zhou, Xiangpeng Hou, Jianchun Liu, Hongli Xu, Jianeng Miao, Qingmin Jia, “Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-the-air Computation”, IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2025. (CCF-B)
  • Qianpiao Ma, Hongli Xu, Haibo Wang, Yang Xu, Qingmin Jia, Chunming Qiao, “Fully Distributed Task Offloading in Vehicular Edge Computing”, IEEE Transactions on Vehicular Technology (TVT), 2024, 73(4), 5630-5646. (中科院二区)[Link][PDF][BIB]
  • Qianpiao Ma, Jianchun Liu, Hongli Xu, Qingmin Jia, Renchao Xie, “FRACTAL: Data-aware Clustering and Communication Optimization for Decentralized Federated Learning”, IEEE Transactions on Big Data (TBD), 2024. (中科院二区)[Link][PDF][BIB]
  • 马千飘, 贾庆民, 刘建春, 徐宏力, 谢人超, 黄韬, 异构边缘计算环境下异步联邦学习的节点分组与分时调度策略, 通信学报, 2023, 44(11): 79-93. (中文CCF-T1)[Link][PDF][BIB]
  • Qianpiao Ma, Jianchun Liu, Qingmin Jia, Xiaomao Zhou, Yujiao Hu, Renchao Xie, “Dynamic Staleness Control for Asynchronous Federated Learning in Decentralized Topology”, The 18th International Conference on Wireless Artificial Intelligent Computing Systems and Applications (WASA), 2024. (CCF-C)[Link][PDF][BIB]
  • Da Yao, Qianpiao Ma*, Haibo Wang, Min Chen, Hongli Xu, “Distributed Strategy for Collaborative Traffic Measurement in a Multi-Controller SDN”, IEEE Transactions on Network Science and Engineering (TNSE), 2024, 11(3): 2450-2461. (中科院二区)[Link][PDF][BIB]
  • Jianchun Liu, Yujia Huo, Pengcheng Qu, Sun Xu, Zhi Liu, Qianpiao Ma*, Jinyang Huang, “FedCD: A Hybrid Federated Learning Framework for Efficient Training With IoT Devices”, IEEE Internet of Things Journal (IOT), 2024, 11(11): 20040-20050. (中科院一区)[Link][PDF][BIB]
  • Luyao Gao, Jianchun Liu, Hongli Xu, Sun Xu, Qianpiao Ma, Liusheng Huang, “Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization”, IEEE Conference on Computer Communications (INFOCOM), 2025. (CCF-A)
  • Hongli Xu, Shigang Chen, Qianpiao Ma, Liusheng Huang, “Lightweight flow distribution for collaborative traffic measurement in software defined networks”, IEEE Conference on Computer Communications (INFOCOM), IEEE, 2019: 1108-1116. (CCF-A)[Link][PDF][BIB]
  • Jun Liu, Jianchun Liu, Hongli Xu, Yunming Liao, Zhiyuan Wang, Qianpiao Ma, “Yoga: Adaptive layer-wise model aggregation for decentralized federated learning”, IEEE/ACM Transactions on Networking (TON), 2024, 32(2): 1768-1780. (CCF-A)[Link][PDF][BIB]
  • Xianjun Gao, Jianchun Liu, Hongli Xu, Qianpiao Ma, Lun Wang, “Towards Communication-Efficient Federated Graph Learning: An Adaptive Client Selection Perspective”, IEEE/ACM International Workshop on Quality of Service (IWQoS), 2024. (CCF-B)[Link][PDF][BIB]
  • Pengcheng Qu, Jianchun Liu, Zhiyuan Wang, Qianpiao Ma, Jinyang Huang, “FedCD: A Hybrid Centralized-Decentralized Architecture for Efficient Federated Learning”, IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), IEEE, 2023: 964-971. (CCF-C)[Link][PDF][BIB]
  • 周晓茂, 贾庆民, 胡玉姣, 郭凯, 马千飘, 刘辉, 谢人超, 自智算力网络: 架构, 技术与展望, 物联网学报, 2023, 7(4): 1-12. [Link]
  • Yang Liu, Qianpiao Ma. “Service Placement Considering Robustness and Dynamic in Edge Computing”, IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), IEEE, 2021: 369-374. [Link]

(* Corresponding author)

🏆 Grants

主持项目

  • 国家自然科学基金委员会, 青年基金, 62402537, 面向预训练模型的边缘联邦学习关键技术研究, 2025-01-01 至 2027-12-31, 30万元
  • 江苏省人社厅, 江苏省卓越博士后计划（揭榜领题）, JB23085, 大规模异构网络下的边缘智能关键技术研究, 2023-5-1 至2025-4-30, 30万元

参与项目

  • 国家自然科学基金委员会, 重大研究计划, 92367104, 工业互联网生成式人工智能方法与关键技术, 2024-01-01 至 2026-12-31, 80万元
  • 国家自然科学基金委员会, 重点项目, 62132019, 边缘侧大数据计算基础理论与技术, 2022-01-01 至 2026-12-31, 298万元

💼 Services

  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Services Computing
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Big Data
  • IEEE Transactions on Network and Service Management
  • Future Generation Computer Systems
  • IEEE International Conference on Peer-to-Peer Computing
  • IEEE International Conference on Cloud Computing