A projection-based zeroth-order federated learning algorithm on Riemannian manifolds achieves sublinear convergence with linear speedup, using only Euclidean random perturbations.
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Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach
A projection-based zeroth-order federated learning algorithm on Riemannian manifolds achieves sublinear convergence with linear speedup, using only Euclidean random perturbations.