齐翩，女，汉族，1995年9月出生于湖北省孝感市，博士。2025年10月毕业于意大利那不勒斯费德里克二世大学，获数学与应用专业博士学位。

主要研究方向为人工智能算法研究、多模态异构数据分析、生成式AI、联邦学习与分布式计算的优化及应用，在国际权威SCI期刊与高水平会议上发表多篇学术论文。

代表性论文：

1. Pian Qi; Diletta Chiaro; Francesco Piccialli. Small models, big impact: A review on the power of lightweight Federated Learning. Future Generation Computer Systems. 162 (2025): 107484.

2. Pian Qi; Diletta Chiaro; Fabio Giampaolo; Francesco Piccialli. KAFÈ: Kernel Aggregation for FEderated. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD). Cham: Springer Nature Switzerland, 2024: 56-71.

3. Pian Qi; Diletta Chiaro; Antonella Guzzo; Michele Ianni; Giancarlo Fortino; Francesco Piccialli. Model aggregation techniques in federated learning: A comprehensive survey. Future Generation Computer Systems. 150 (2024): 272-293.

4. Pian Qi; Diletta Chiaro; Francesco Piccialli. FL-FD: Federated learning-based fall detection with multimodal data fusion. Information fusion. 99 (2023): 101890.

5. Pian Qi; Diletta Chiaro; Fabio Giampaolo; Francesco Piccialli. A blockchain-based secure Internet of medical things framework for stress detection. Information Sciences. 628 (2023): 377-390.

联系方式：

pian.qi@csust.edu.cn