The following pages link to (Q5148925):
Displaying 11 items.
- Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces (Q2300763) (← links)
- Distributed Stochastic Optimization via Matrix Exponential Learning (Q4620753) (← links)
- Exact Diffusion for Distributed Optimization and Learning—Part I: Algorithm Development (Q4628229) (← links)
- Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach (Q5036202) (← links)
- Distributed Learning in Non-Convex Environments— Part II: Polynomial Escape From Saddle-Points (Q5103393) (← links)
- (Q5159408) (← links)
- Distributed learning with indefinite kernels (Q5236752) (← links)
- Spectral algorithms for learning with dependent observations (Q6049257) (← links)
- Gradient-free federated learning methods with \(l_1\) and \(l_2\)-randomization for non-smooth convex stochastic optimization problems (Q6053598) (← links)
- S-NEAR-DGD: A Flexible Distributed Stochastic Gradient Method for Inexact Communication (Q6093049) (← links)
- Least squares regression under weak moment conditions (Q6664838) (← links)
