(1)获奖情况 [1]第十二届“挑战杯”中国大学生创业计划竞赛银奖; [2]第七届中国国际“互联网+”大学生创新创业大赛铜奖。 (2)教学/科研项目 [1]国家自然科学基金地区基金,面向可信联邦大模型的高精度自举CKKS密态计算研究2026.01-2029.12,32万元,在研,主持。 [2]云南省基础研究计划青年项目,多源异构可信医疗数据空间中误导性知识协同治理机制研究,2027.01-2029.12,5万元,在研,主持。 [3]昆明理工大学高层次引进人才科研启动项目,80万元,在研,主持。 [4]云南省科技厅杰出青年项目,可信边缘人工智能,2023.6-2026.5,50万元,在研,参与。 [5]云南省科技重大专项,自主可控智能可信PLC关键技术研究,2022.01-2024.12, 152万元,在研,参与。 [6]中央军委科学技术委员会项目,基于边缘计算的智能边境巡检及数据优化研究,2020.12-2023.12,200万元,结题,参与。 [7]云南省科技重大专项,云南省稀贵金属材料基因工程(一期2020)-云南省稀贵金属知识产权与标准信息平台建设及数据可信共享关键技术开发与应用,2020.1-2022.12,300万元,结题,参与。 [8]中国工程院院地合作重点咨询项目,基于区块链技术的云南省数字经济可信生态体系发展战略咨询研究,2020.8-2021.7,100万元,结题,参与。 (3)论文 [1]Bai F, Zhou C, Shen T, et al. DAG-Driven Optimization for Heterogeneous Federated Learning Based on Fuzzy Entropy and Benders Decomposition[J]. Expert Systems with Applications, 2025, 302: 130570. [2]Bai F, Shen T, Yu Z, et al. Blockchain-Enhanced and Time-Variant Mean Field-Optimized Dynamic Computation Sharing in Mobile Network [J], IEEE Transactions on Wireless Communications,2024, 23(9):12140-12156. [3]Bai F,Wang Z, ZengK, ZhangC, Shen T,et al. ZKSA: Securemutual Attestation againstTOCTOUZero-knowledgeProofbasedfor IoTDevices. Computers&Security,2025,148: 104136. [4]Bai F, Zhou C, Zhao R, et al. Asynchronous federated learning of main-side chain collaboration for multi-level task scheduling in IoT[J]. Journal of King Saud University Computer and Information Sciences, 2026, 38:115. [5]Bai F, Shen T, Yu Z, et al. Trustworthy blockchain-empowered collaborative edge computing-as-a-service scheduling and data sharing in the IIoE[J]. IEEE Internet of Things Journal, 2022, 9(16): 14752-14766. [6]Shen T, Wang Z, Yang X,Bai F*,et al. LTRAA: Lightweight and transparent remote attestation with anonymity[J]. Journal of Information Security and Applications, 2026, 97: 104352. [7]Li X,Bai F, Li R, et al. A Complex-Valued Rotational Chaotic Map with Zynq-Based Hardware Implementation[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2026. [8]Zhang X, Shen T, Zeng K,Bai F. Selective Layer-Wise Cleansing: A Knowledge-Preserving Defense Against Backdoor Attacks in LoRA-Tuned Models for Natural Language Understanding[J]. Knowledge-Based Systems, 2026: 115848. [9]Zhang X, Shen T, Zeng K,Bai F.Knowledge-Centric Split Federated Learning With Partial Client Participation for Non-IID Data[J].IEEE Transactions on Network Science and Engineering,2026,DOI:10.1109/TNSE.2025.3638885. (4)知识产权 [1]柏粉花,卯飞等.一种基于同态加密的大模型联邦拆分隐私保护方法,受理:202510755506.1. [2]柏粉花,金邦明等.一种基于镜头探测谱聚类联邦学习鲁棒性聚合方法,受理:202510755035.4. [3]柏粉花,杨献林等.一种基于零知识证明的可信联邦大模型非线性激活函数验证方法,受理:202510346741.3. [4]柏粉花,方兴文等.一种联邦蒸馏框架下基于交叉注意力机制的误导性知识诊断方法,受理:202510270045.9. [5]柏粉花,沈韬等.一种基于个性化联邦蒸馏的图像分类方法,受理:202510023668.6. [6]柏粉花,赵壬硕等.一种基于零知识证明与区块链技术结合的梯度聚合联邦学习方法,授权号:CN 119420489 B. [7]柏粉花,沈韬等.一种防篡改的能源工业互联网多边缘链数据共享方法,授权号:CN 113010922 B. [8]柏粉花,沈韬等.一种区块链辅助的基于时变平均场博弈的边缘计算卸载优化方法,授权号:CN 115460080 B. [9]沈韬,李天宇,柏粉花等.一种处理数据的区块链分片异步共识方法及系统,授权号, CN202210228072.6 [10]沈韬,何苗,柏粉花等.一种基于零知识证明和同态加密的数据跨链共享方法,授权号:CN 112953712 B. (5)专著、教材 [1]Bai, F, Shen, T. (2021). Blockchain Technology in Energy Field: Opportunities and Challenges. In: Patnaik, S., Wang, TS., Shen, T., Panigrahi, S.K. (eds) Blockchain Technology and Innovations in Business Processes. Smart Innovation, Systems and Technologies, vol 219. Springer, Singapore.https://doi.org/10.1007/978-981-33-6470-7_9. |