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Row-stochastic matrices can provably outperform doubly stochastic matrices in decentralized learning

A weighted Hilbert-space framework is developed and sufficient conditions under which the row-stochastic design converges faster even with a smaller spectral gap are derived, by using a Rayleigh-quotient and Loewner-order eigenvalue comparison.

Bing Liu, Boao Kong, Limin Lu et al. · 0 citations
#artificial intelligence Review Jul 2026

ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System

ReasFlow is introduced, an end-to-end autonomous agent system for reasoning-centric scientific discovery that operationalizes a collaborative paradigm where the human expert acts as Principal Investigator while the agent executes rigorous derivations as a capable graduate student.

Yutong He, Daibo Li, Guohong Li et al. · 1 citation