The 10th International Conference on Fuzzy Systems and Data Mining (FSDM 2024)

Abstract: In recent years, mobile devices can be equipped with increasingly advanced computing capabilities, which opens up countless possibilities for meaningful applications. Traditionally, any cloud-based Machine Learning (ML) approach requires that data be centralized on a cloud-based server/data center. However, this can result in critical issues related to unacceptable latency and communication inefficiency as well as major security and privacy concerns. However, conventional ML technologies still require personal data to be shared. Recently, in light of increasing security and privacy concerns, the concept of Federated Learning (FL) has been introduced. In FL, end devices use their local data to train a local ML model required by the server. In a large, complex mobile edge networks, FL still faces implementation challenges with regard to communicational costs, resource allocation, security, and privacy. In this talk, we begin with an introduction to the background and fundamentals of FL. We then discuss how FL can work to try and preserve privacy while maintaining security of data. Finally, we discuss some open research areas and specific open problems where attendees may be able to make an impact.

Biography: Gautam Srivastava was awarded his B.Sc. degree from Briar Cliff University in U.S.A. in the year 2004, followed by his M.Sc. and Ph.D. degrees from the University of Victoria in Victoria, British Columbia, Canada in the years 2006 and 2012, respectively. He then taught for 3 years at the University of Victoria in the Department of Computer Science, where he was regarded as one of the top undergraduate professors in the Computer Science Course Instruction at the University. From there in the year 2014, he joined a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently is active in various professional and scholarly activities. He was promoted to Professor in January 2023. Dr. G, as he is popularly known, is active in research in the field of Data Mining and Big Data. In his 10-year academic career, he has published a total of 400 papers in high-impact conferences in many countries and in high-status journals (SCI, SCIE) and has also delivered invited guest lectures on Big Data, Cloud Computing, Internet of Things, and Cryptography at many international universities. He is an Editor of several international scientific research journals. He currently has active research projects with other academics in Taiwan (China), Singapore, Canada, Czech Republic, Poland and U.S.A. He is constantly looking for collaboration opportunities with foreign professors and students. For more details about Dr. G., please refer to his personal website at (https://people.brandonu.ca/srivastavag/).

Abstract: To be updated soon

Biography: Sheng-Lung Peng is a Professor at the Department of Creative Technologies and Product Design, and the Dean of the College of Innovative Design and Management, National Taipei University of Business in Taiwan. He received the BS degree from Mathematics Department of National Tsing Hua University, and the MS and PhD degrees from Computer Science and Information Engineering Department of National Chung Cheng University and Computer Science Department of National Tsing Hua University, respectively, in Taiwan. He is an honorary Professor at Beijing Information Science and Technology University and a visiting Professor at Ningxia Institute of Science and Technology in China. He is also an adjunct Professor at National Dong Hwa University in Taiwan and, Mandsaur University and Kazi Nazrul University in India. He serves as the President of the Association of Taiwan Computer Programming Contest, Association of Algorithms and Computation Theory, and the Regional Director of the ICPC Asia Taoyuan site. He is a director of the Institute of Information and Computing Machinery and the Taiwan Association of Cloud Computing. He is also a supervisor of the Chinese Information Literacy Association. Dr. Peng has edited several special issues at journals, such as Frontiers in Public Health, Journal of Internet Technology, IEEE Internet of Things Magazine, Computers and Electrical Engineering, Sensors, and so on. He is also a reviewer for journals such as IEEE Access and Transactions on Emerging Topics in Computing, IEEE/ACM Transactions on Networking and on Computational Biology and Bioinformatics, Theoretical Computer Science, Journal of Computer and System Sciences, Journal of Combinatorial Optimization, Journal of Modelling in Management, Soft Computing, Information Processing Letters, Discrete Mathematics, Discrete Applied Mathematics, and so on. His research interests are algorithm design in the fields of artificial intelligence, bioinformatics, combinatorics, data mining, and networking.