论文

Our paper "FedDPKD:Federated learning with dual-phase knowledge distillation for label distribution skew" is available online on Information Processing & Management（中科院1区，CCF B）. Congratulations to Wenzhang Su.

论文链接：FedDPKD:Federated learning with dual-phase knowledge distillation for label distribution skew

Our paper "FedPPB：基于PSO和Paillier加密算法的区块链联邦学习方法" is accepted by 计算机研究与发展（CCF T1）. Congratulations to Ziang liu.

Our paper "DyCo-Student:Dynamic Co-evolutionary Student for Sparsely Annotated Object Detection" is accepted by 2025 5th International Conference on Artificial Intelligence, Automation and High Performance Computing. Congratulations to Qianqian Li.

Hefei, China during September 19-221, 2025.

Our paper "FedCKD:KD-based Classifier Refinement for Non-IID Data in Federated Learning" is accepted by 2025 6th Information Communication Technologies Conference. Congratulations to Wenzhang Su.

Nanjing, China during August 22-24, 2025. Conference Website: http://www.ictc.net/ More about the Invited Speaker are here.

学生情况

历年指导的研究生、本科生成果情况，毕业情况等。

TD3-based trajectory optimization for energy consumption minimization in UAV-assisted MEC system

Unmanned Aerial Vehicle (UAV) assisted Mobile Edge Computing (MEC) systems provide substantial benefits for task offloading and communication services, especially in situations …

沈凡凡

• Nov 17, 2024 • 1 min read

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Our paper "TD3-based trajectory optimization for energy consumption minimization in UAV-assisted MEC system" is published by Computer Networks (CCF B, 中科院二区). Congratulations to Bofan Yang.

论文链接：TD3-based trajectory optimization for energy consumption minimization in UAV-assisted MEC system

TPE-BFL:Training Parameter Encryption scheme for Blockchain based Federated Learning System

Blockchain technology plays a pivotal role in addressing the single point of failure issues in federated learning systems, due to the immutable nature and decentralized …

沈凡凡

• Oct 8, 2024 • 1 min read

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Our paper "CKKS and Local Differential Privacy based Model Parameters Encryption for Personalized Federated Learning" is accepted by The 6th International Conference on System Reliability and Safety Engineering. Congratulations to Lijie Hui.

Hangzhou, China | October 11-14, 2024

Our paper "TPE-BFL:Training Parameter Encryption scheme for Blockchain based Federated Learning System" is published by Computer Networks (CCF B, 中科院二区). Congratulations to Qiwei Liang.

论文链接：TPE-BFL:Training Parameter Encryption scheme for Blockchain based Federated Learning System