most citedUnlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model

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cs.DC2026

Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based Optimizers

Liangyu Wang, Siqi Zhang, Junjie Wang +7

The scaling of Large Language Models (LLMs) drives interest in matrix-based optimizers (e.g., Shampoo, Muon, SOAP) for their convergence efficiency; yet their requirement for holis…