✨FedPS: Federated data Preprocessing via aggregated Statistics
📝 Summary:
FedPS is a federated data preprocessing framework for collaborative machine learning. It uses aggregated statistics and data-sketching for efficient privacy-preserving data preparation in FL, covering tasks like scaling and imputation.
🔹 Publication Date: Published on Feb 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.10870
• PDF: https://arxiv.org/pdf/2602.10870
• Project Page: https://xuefeng-xu.github.io/fedps.html
• Github: https://github.com/xuefeng-xu/fedps
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#FederatedLearning #DataPreprocessing #MachineLearning #PrivacyPreservingAI #DataScience
📝 Summary:
FedPS is a federated data preprocessing framework for collaborative machine learning. It uses aggregated statistics and data-sketching for efficient privacy-preserving data preparation in FL, covering tasks like scaling and imputation.
🔹 Publication Date: Published on Feb 11
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.10870
• PDF: https://arxiv.org/pdf/2602.10870
• Project Page: https://xuefeng-xu.github.io/fedps.html
• Github: https://github.com/xuefeng-xu/fedps
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#FederatedLearning #DataPreprocessing #MachineLearning #PrivacyPreservingAI #DataScience