The following pages link to Stefan Vlaski (Q2225210):
Displaying 16 items.
- Second-order guarantees in centralized, federated and decentralized nonconvex optimization (Q2225211) (← links)
- Stochastic Learning Under Random Reshuffling With Constant Step-Sizes (Q4628203) (← links)
- Regularized Diffusion Adaptation via Conjugate Smoothing (Q5092128) (← links)
- Adaptation and Learning Over Networks Under Subspace Constraints—Part I: Stability Analysis (Q5102679) (← links)
- Adaptation and learning over networks under subspace constraints Part II: Performance Analysis (Q5102834) (← links)
- Distributed Learning in Non-Convex Environments—Part I: Agreement at a Linear Rate (Q5103392) (← links)
- Distributed Learning in Non-Convex Environments— Part II: Polynomial Escape From Saddle-Points (Q5103393) (← links)
- Second-Order Guarantees of Stochastic Gradient Descent in Nonconvex Optimization (Q6053157) (← links)
- Learning From Heterogeneous Data Based on Social Interactions Over Graphs (Q6197500) (← links)
- Second-Order Guarantees in Centralized, Federated and Decentralized Nonconvex Optimization (Q6337805) (← links)
- Towards Scalable Semidefinite Programming: Optimal Metric ADMM with A Worst-case Performance Guarantee (Q6526491) (← links)
- Self-aware social learning over graphs (Q6574817) (← links)
- Optimal aggregation strategies for social learning over graphs (Q6574867) (← links)
- Federated learning under importance sampling (Q6603212) (← links)
- Quantization for decentralized learning under subspace constraints (Q6603598) (← links)
- Enforcing privacy in distributed learning with performance guarantees (Q6603717) (← links)
