Research on emergency logistics information traceability model and resource optimization allocation strategies based on consortium blockchain
C Wang, Z Guo, F Shi, M Chen, X Wang, J Liu - Plos one, 2024 - journals.plos.org
In response to increasingly complex social emergencies, this study realizes the optimization
of logistics information flow and resource allocation by constructing the Emergency logistics …
of logistics information flow and resource allocation by constructing the Emergency logistics …
A Federated Learning Method Based on Blockchain and Cluster Training
Y Li, Y Yan, Z Liu, C Yin, J Zhang, Z Zhang - Electronics, 2023 - mdpi.com
Federated learning (FL) is an emerging machine learning method in which all participants
can collaboratively train a model without sharing their raw data, thereby breaking down data …
can collaboratively train a model without sharing their raw data, thereby breaking down data …
[PDF][PDF] Differentially Private Support Vector Machines with Knowledge Aggregation.
T Wang, Y Zhang, J Liang, S Wang… - Computers, Materials & …, 2024 - cdn.techscience.cn
With the widespread data collection and processing, privacy-preserving machine learning
has become increasingly important in addressing privacy risks related to individuals …
has become increasingly important in addressing privacy risks related to individuals …
How Green Credit Policy Affects Commercial Banks' Credit Risk?: Evidence and Federated Learning-Based Modeling From 26 Listed Commercial Banks in China
T Feng, J Xu, Z Zhou, Y Luo - Journal of Cases on Information …, 2024 - igi-global.com
The green credit policy has significantly influenced the growth of green industries in China.
This study evaluates its impact on reducing bank credit risk using data from 26 Chinese …
This study evaluates its impact on reducing bank credit risk using data from 26 Chinese …