A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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This paper proposes mergeable model-side aggregation states to improve long-context language models on non-additive, set-based aggregation tasks.
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SplineCNN introduces continuous B-spline kernels for geometric deep learning, enabling fast and flexible spatial aggregation on irregular data.
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This paper proposes a practical secure aggregation protocol using secure multiparty computation to enable privacy-preserving machine learning by computing sums of model parameter updates.
Rui Zhu, Xi Cheng, Keliang Liu, et al.
SheetCompressor compresses spreadsheets for LLMs via structural anchors, inverse index translation, and data-aware aggregation, enabling Chain of Spreadsheet for QA.
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, et al.
Proposes a control algorithm for adaptive federated learning that optimally balances local updates and global aggregation under resource constraints.