Prof. Wanyang Dai
Speech Title: Blockchained federated learning via stochastic and statistical optimizations with application in 6G/6G+
Abstract:
We present our recent progresses in blockchained federated learning via stochastic and statistical optimizations with application in 6G/6G+. The linkages with sochastic ODE/PDE will be introduced. Parameter estimations corresponding to different situations via maximal likelihood and Malliavin analysis based Stern estimators or linear programming method will be addressed. Policy evolutions with dynamical and game-theretic decisions will be studied. Associated big data flow characterizations via spatial point processes or high-dimensional stochastic processes with possible long-range dependence will also be discussed.
Biography
Wanyang Dai is a Distinguished Professor in Nanjing University and Chief Scientist in DepthsData Digital Economic Research Institute. He is the current President & CEO of U.S. based (Blockchain & Quantum-Computing) SIR Forum (Industrial 6.0 Forum), President of Jiangsu Probability & Statistical Society in China, Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee in China. He received his Ph.D. from Georgia Institute of Technology in USA. He was a MTS and principal investigator in U.S. based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called cloud system. He published numerous influential papers in big name journals including Operations Research, Communications in Mathematical Sciences, and Journal of Computational and Applied Mathematics. He received various academic awards and has presented over 40 keynote/plenary speeches in IEEE/ACM, computational and applied mathematics, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief and editorial board members for various international journals ranging from pure mathematics & statistics to their applications.