Proceedings of the Second International Forum on Financial Mathematics and Financial Technology (Financial Mathematics and Fintech)

Preface
Contents
On the Development of Fintech in Asia
	1 Overview of Global Fintech Development
		1.1 Development Dynamics
		1.2 The Financing Profile
		1.3 Regulatory Environment
		1.4 The Models of Fintech Development
		1.5 Spatial Layout
	2 Practice of Fintech Development in Asia
		2.1 China—The Fintech Has Been Promoted to the Worlds Leading Level
		2.2 Japan—Boosting the Rapid Growth of Fintech Through Advantages of Backwardness
		2.3 Singapore—Gathering Innovative Resources with a Relaxed and Inclusive Atmosphere
		2.4 South Korea—Promoting Scale Development of Fintech Industry by Fanning Out From Point to Area
		2.5 KazakhstanCDigital Transformation Speeds Up the Construction of Central Asian Fintech Hub
		2.6 India—Potential for Fintech Development Has Been Gradually Exerted
		2.7 Israel—Guidance Plus Service to Create a Highland for the Development of Fintech
		2.8 Indonesia—A Rising Star of Fintech Development in Southeast Asia
		2.9 Hong Kong of China—The Government Assists the Strong Development of Fintech
A Probability Inequality with Application to Lattice Theory
	1 Introduction
	2 Main Results
	3 Conclusions
	References
Robust Identification of Gene-Environment Interactions Under High-Dimensional Accelerated Failure Time Models
	1 Introduction
	2 Methods
		2.1 Data and Model Settings
		2.2 Robust Estimation and Identification
		2.3 Computation
		2.4 Consistency Properties
	3 Simulations
	4 Analysis of the TCGA Lung Adenocarcinoma Data
	5 Discussions
	References
A Novel Approach for Improving Accuracy for Distributed Storage Networks
	1 Introduction
	2 Related Works
		2.1 Audit Research
		2.2 Distributed Storage Project
	3 Audit Algorithm
		3.1 An Audit Framework
		3.2 Data Uploading
		3.3 Self-integrity Verification
		3.4 Data Owner\'s Integrity Verification
		3.5 The Game of Miners Versus Storage Networks
	4 Fault-Tolerance Verification
	5 Concluding Remarks
	References
Iterative Learning Control Based on Random Variance Reduction Gradient Method
	1 Introduction
		1.1 Background
		1.2 Design and Analysis of SVRG-Based ILC
		1.3 Main Work and Organization
	2 SVRG-Based ILC Framework
		2.1 System Description
		2.2 Algorithm Design
		2.3 Convergence Analysis
	3 SVRG-Based ILC Under Random Data Dropouts
		3.1 System Description
		3.2 Algorithm Design
		3.3 Convergence Analysis
		3.4 Numerical Simulation
	4 Model-Free SVRG-Based ILC for MIMO Systems
		4.1 System Description
		4.2 Algorithm Design
		4.3 Convergence Analysis
		4.4 Numerical Simulation
	5 Conclusions
	References
A Generalization of NTRUEncrypt
	1 φ-Cyclic Code
	2 A Generalization of NTRUEncrypt
	References
Cyclic Lattices, Ideal Lattices,  and Bounds for the Smoothing Parameter
	1 Discrete Subgroup in mathbbRn
	2 Ideal Matrices
	3 Cyclic Lattices and Ideal Lattices
	4 Smoothing Parameter
	References
On the LWE Cryptosystem with More General Disturbance
	1 Introduction
		1.1 Innovation and Contribution
	2 Methodology
		2.1 Preliminary Property
		2.2 Probability of Decryption Error Based on Gaussian Disturbance
		2.3 Probability of Decryption Error for General Disturbance
	3 Results and Conclusions
	4 Discussions
		4.1 Future Work
	References
On the High Dimensional RSA Algorithm—A Public Key Cryptosystem Based on Lattice and Algebraic Number Theory
	1 Introduction
	2 Ideal Matrices
	3  High Dimensional RSA
	4 Security and Example
	References
Central Bank Digital Currency Cross-Border Payment Model Based  on Blockchain Technology
	1 Introduction
	2 CBDC Cross-Border Payment Development Current Situation
	3 Polkadot Technology Overview
		3.1  Relay Chain and Parachain Technology
		3.2 Polkadot Cross-Chain Technology
	4 CBDC Cross-Border Payment Model
		4.1 Design of Parachain
		4.2 Design of Relay chain
		4.3 Cross-Chain Transaction
		4.4 Privacy Protection
	5 CBDC Cross-Border Payment Model Architecture
	6 Summary and Prospect
	References
LLE Based K-Nearest Neighbor Smoothing for scRNA-Seq Data Imputation
	1 Introduction
	2 Materials and Methods
		2.1 The K-Nearest Neighbor Smoothing Algorithm
		2.2 Locally Linear Embedding
	3 Results
		3.1 Availability of Data
		3.2 Data Processing and Visualization
		3.3 Performance Evaluation
	4 Conclusions
	References
The Application of Time Series Analysis in the Fiscal Budget Variance of China
	1 Introduction
	2 A General View on Budget Data
		2.1 Introduction to Concept and Data Source
		2.2 Descriptive Analysis of Budget Variance
		2.3 Descriptive Analysis of Budget Execution
	3 Overview of Time Series Analysis Techniques
		3.1 Decomposition of Time Series
		3.2 ARIMA (p,d,q)
		3.3 SARIMA (p,d,q) (P,D,Q)s
	4 Modeling of Budget Variance
		4.1 Prediction of Budget Execution
		4.2 Prediction of Budget Variance
	5 Conclusion
	References