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Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47652, first published .
Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation

Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation

Privacy-Preserving Federated Survival Support Vector Machines for Cross-Institutional Time-To-Event Analysis: Algorithm Development and Validation

Journals

  1. Morelli S, Giansanti D. Recent Advances in AI-Driven Mobile Health Enhancing Healthcare—Narrative Insights into Latest Progress. Bioengineering 2025;13(1):54 View
  2. Shen H, Zhang L, Ma X, Yin Y, Wang J, Tan B. Integrating host-microbiome multi-omics with machine learning: methods, benchmarks, and translational applications. Science China Life Sciences 2026 View

Books/Policy Documents

  1. Klochko T, Kalashnikova V, Kruchyna V, Nosov K, Bespalov Y. Integrated Computer Technologies in Mechanical Engineering - 2024. View
  2. Mohamed I, Abdulla H, Mohabilasha M, Ahmed F, Chandre P, Mahalle P. Information Systems for Intelligent Systems. View

Conference Proceedings

  1. Walter V, Stricker F, Wagner A, Zirpins C. 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). Towards Federated Learning-Based Forecasting of Renewable Energy Production View