Leveraging Java for Developing Privacy-Preserving and Cross-Platform Machine Learning Applications
- Title
- Leveraging Java for Developing Privacy-Preserving and Cross-Platform Machine Learning Applications
- Creator
- Sneha, M.; Augustine, Peter; Beaulah Soundarabai, P.
- Description
- The growing focus on data privacy and system interoperability has created a clear need for machine learning (ML) applications. These applications must be able to protect sensitive data while maintaining consistent performance in various computing environments. Java is considered as a strong choice due to its platform independence, strong static typing, and rich ecosystem of development tools and libraries. This study checks how Java supports privacy-preserving techniques such as federated learning, differential privacy, and homomorphic encryption, instilling confidence in its role for secure ML development. It also reviews Java-based libraries, including Weka, Deeplearning4j, and Apache Spark, highlighting their role in building safe, scalable, and portable ML solutions. Through architectural analysis, benchmark-based evaluation, and comparisons with other programming languages, the study demonstrates the strengths of Java to deliver secure, scalable, and interoperable privacy-sensitive machine learning applications. 2025 IEEE.
- Source
- 2025 IEEE 7th International Conference on Computing, Communication and Automation, ICCCA 2025;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Cross-Platform Development; Differential Privacy; Federated Learning; Homomorphic Encryption; Java; Machine Learning; Privacy Preservation
- Coverage
- Sneha M., Christ University, Dept. Computer Science, Karanataka, Bengaluru, India; Augustine P., Christ University, Dept. Computer Science, Karanataka, Bengaluru, India; Beaulah Soundarabai P., Christ University, Dept. Computer Science, Karanataka, Bengaluru, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833156980-8;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sneha, M.; Augustine, Peter; Beaulah Soundarabai, P., “Leveraging Java for Developing Privacy-Preserving and Cross-Platform Machine Learning Applications,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25924.