| Prof. Qiao YanShenzhen University Professor in Shenzhen University, Doctoral Supervisor. Main Research Interests include Cybersecurity, Artificial Intelligence. She is CCF Distinguished Member, Shenzhen High-level Talent, Leading Talent of Nanshan District, Shenzhen and has been consecutively listed in Stanford University's World's Top 2% Scientists Ranking for scientific influence from 2019 to 2024. Speech Title: Vanishing Privacy: Fast Gradient Leakage Threat to Federated Learning |
 | Prof. Thippa Reddy GadekalluZhejiang A&F university Thippa Reddy Gadekallu is currently working as Professor at Zhejiang A&F University as well as Chief Engineer at Zhongda Group, Haiyan County, Jiaxing City, Zhejiang Province, China, 314312. He has obtained his Bachelors in Computer Science and Engineering from Nagarjuna University, India, in the year 2003, Masters in Computer Science and Engineering from Anna University, Chennai, Tamil Nadu, India in the year 2011 and his Ph.D in Vellore Institute of Technology, Vellore, Tamil Nadu, India in the year 2017. He has more than 15 years of experience in teaching and research. He has more than 350 international/national publications in reputed journals and conferences. Currently, his areas of research include Machine Learning, Internet of Things, Deep Neural Networks, Blockchain, Computer Vision. He is an editor in several publishers like Springer, Hindawi, Plosone, Scientific Reports (Nature), Wiley. He also acted as a guest editor in several reputed publishers like IEEE, Elsevier, Springer, Hindawi, MDPI. He is recently recognized as one among the top 2% scientists in the world as per the survey conducted by Elsevier in the years 2021, 2022, 2023, 2024. He is also recognized as a highly cited researcher, young scientist category, by Clarivate (web of Science) for the period 2017-2022 in the year 2023. Speech Title: Federated Learning for Big Data- Opportunities, Applications, and Future Directions |
 | Assoc. Prof. Shaowei WangGuangzhou University Wang Shaowei is an associate professor and master’s supervisor at the Artificial Intelligence Research Institute of Guangzhou University. He earned his Ph.D. in Computer Software and Theory from the School of Computer Science and Technology at the University of Science and Technology of China in 2019. In December 2020, he joined the Artificial Intelligence Research Institute of Guangzhou University and was selected into the university’s “Hundred Talents Program.” His main research areas include data privacy protection, federated learning, and machine learning, and he is engaged in teaching and research in these fields. Since 2015, he has published over 20 papers, including 3 papers at CCF‑recommended A‑class conferences and 2 papers in A‑class journals. In terms of academic achievements, his research was accepted by the top international conference in artificial intelligence, IJCAI 2021. The paper proposed a novel mechanism for privacy‑preserving gradient estimation in federated learning, improving the efficiency of machine learning model training. Additionally, his recent work, “Optimal Locally Private Data Stream Analytics,” was accepted by the prestigious conference in computer networking and security, IEEE INFOCOM 2024. This research achieved a theoretical breakthrough in privacy‑preserving data stream analytics. Speech Title: Privacy Preserving Combinatorial Optimization and Data Contribution Estimation |
