Learning Adaptive Solvers for Distributed Graph Optimization
zhenjun_zhao · x · 2026-07-10
This paper proposes a method for learning adaptive solvers aimed at distributed factor graph optimization over matrix Lie groups.
The core idea involves unrolling CORD into a differentiable iterative process and learning local feedback policies to predict solver parameters.
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