PPFL: Privacy-Preserving Federated Learning Based on Differential Privacy and Personalized Data Transformation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3595533
Abstract: federated learning (FL) prevents direct exposure of raw data. However, it remains vulnerable to privacy and security threats such as inference and poisoning attacks. Traditional differential privacy (DP) methods utilize noise injection to mitigate these… read more here.
Keywords: differential privacy; privacy; personalized data; federated learning ... See more keywords
Data Transformation-Driven Fuzzy Clustering Neural Network With Layerwise and End-to-End Training
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2025.3596790
Abstract: In this study, we propose a novel data transformation-driven fuzzy clustering neural network (DTFCNN) to enhance the dimensionality reduction function and end-to-end refinment learning ability of the entire structure. Unlike conventional fuzzy clustering-based neural networks,… read more here.
Keywords: layer; end; dtfcnn; transformation driven ... See more keywords
Visualizing the Scripts of Data Wrangling with SOMNUS
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3144975
Abstract: Data workers use various scripting languages for data transformation, such as SAS, R, and Python. However, understanding intricate code pieces requires advanced programming skills, which hinders data workers from grasping the idea of data transformation… read more here.
Keywords: visualizing scripts; semantics; somnus; data transformation ... See more keywords
Rigel: Transforming Tabular Data by Declarative Mapping
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3209385
Abstract: We present Rigel, an interactive system for rapid transformation of tabular data. Rigel implements a new declarative mapping approach that formulates the data transformation procedure as direct mappings from data to the row, column, and… read more here.
Keywords: tabular data; data transformation; rigel; declarative mapping ... See more keywords
Revealing the Semantics of Data Wrangling Scripts With Comantics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3209470
Abstract: Data workers usually seek to understand the semantics of data wrangling scripts in various scenarios, such as code debugging, reusing, and maintaining. However, the understanding is challenging for novice data workers due to the variety… read more here.
Keywords: semantics; wrangling scripts; data transformation; data wrangling ... See more keywords
A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0278095
Abstract: Customer churn is one of the most critical issues faced by the telecommunication industry (TCI). Researchers and analysts leverage customer relationship management (CRM) data through the use of various machine learning models and data transformation… read more here.
Keywords: transformation methods; customer churn; data transformation; prediction ... See more keywords