Decentralized Riemannian Gradient Descent on the Stiefel Manifold.
Shixiang ChenAlfredo GarciaMingyi HongShahin ShahrampourPublished in: CoRR (2021)
Keyphrases
- euclidean space
- riemannian manifolds
- geodesic distance
- riemannian metric
- tangent space
- shape analysis
- lie group
- fisher information
- low dimensional
- vector space
- euclidean distance
- manifold learning
- metric space
- finite dimensional
- cost function
- peer to peer
- cooperative
- log euclidean
- data points
- distributed systems
- shape space
- loss function
- reproducing kernel hilbert space
- symmetric positive definite
- information geometry
- objective function
- essential matrices
- infinite dimensional
- multi agent