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SiloFuse

Related publications

• Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion · arXiv 2026
• Accelerating machine learning queries with linear algebra query processing · DAPD 2025
• Database as Runtime: Compiling LLMs to SQL for In-database Model Serving · SIGMOD 2025
• Database is All You Need: Serving LLMs with Relational Queries · EDBT 2025
• Ilargi: A GPU Compatible Factorized ML Model Training Framework · WISE 2025
• IMLP: An Energy-Efficient Continual Learning Method for Tabular Data Streams · arXiv 2025
• Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning · ARES 2025
• TranSQL +: Serving Large Language Models with SQL on Low-Resource Hardware · SIGMOD 2025
• WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models · SIGMOD 2025
• Amalur: The Convergence of Data Integration and Machine Learning · IEEE TKDE 2024
• AutoFeat: Transitive Feature Discovery over Join Paths · ICDE 2024
• CEBench: A Benchmarking Toolkit for the Cost-Effectiveness of LLM Pipelines · arXiv 2024
• Cross-Source ML Model Training · ICDE 2024
• Human-in-the-Loop Feature Discovery for Tabular Data · CIKM 2024
• LLM-PQA: LLM-enhanced Prediction Query Answering · CIKM 2024
• Model Selection with Model Zoo via Graph Learning · ICDE 2024
• SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models · ICDE 2024
• Will Sharing Metadata Leak Privacy? · ICDEW 2024
• Amalur: Data Integration Meets Machine Learning · ICDE 2023
• Data Lakes: A Survey of Functions and Systems · IEEE TKDE 2023
• Macaroni: Crawling and Enriching Metadata from Public Model Zoos · ICWE 2023
• Metadata Representations for Queryable Repositories of Machine Learning Models · IEEE Access 2023
• Optimizing ML Inference Queries Under Constraints · ICWE 2023
• Amalur: Next-generation Data Integration in Data Lakes · CIDR 2022