Distributed Riemannian Online Gradient Descent

New optimization method achieves curvature-independent regret bounds on manifolds

Researchers have developed a new method for decentralized online optimization on Hadamard manifolds, specifically addressing challenges related to curvature dependence in previous approaches. This work introduces Distri…