#distributed-machine-learning News & Analysis

3 articles tagged with #distributed-machine-learning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Jun 27/10

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GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning

GuidaPA is a privacy-preserving chatbot for Italian public administration that uses federated learning to train on sensitive documentation without centralizing data. The system achieves comparable performance to traditional centralized fine-tuning while keeping sensitive data distributed across agency servers, demonstrating federated learning's viability for regulated institutional deployments.

AINeutralarXiv – CS AI · Jun 236/10

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Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models

Researchers propose a federated learning framework that combines ARIMA, GARCH, LSTM-Attention, and XGBoost models to forecast global carbon emissions while preserving data privacy. The system enables collaborative forecasting across distributed clients without sharing raw data, achieving R² values averaging 0.73 across 14 test clients.

AINeutralarXiv – CS AI · Jun 26/10

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Multi-Agent Conformal Prediction with Personalized Statistical Validity

Researchers propose personalized federated weighted conformal prediction (PFWCP), a framework that enables reliable uncertainty quantification across multiple agents while preserving privacy and handling data heterogeneity. The method provides statistical validity guarantees for individual participants rather than only aggregate averages, with practical applications in distributed machine learning systems.