1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.MA2019★ 1 cited
Distributed Learning in Non-Convex Environments -- Part II: Polynomial Escape from Saddle-Points
Stefan Vlaski, Ali H. Sayed
The diffusion strategy for distributed learning from streaming data employs local stochastic gradient updates along with exchange of iterates over neighborhoods. In Part I [2] of t…
math.OC2019
Distributed Learning in Non-Convex Environments -- Part I: Agreement at a Linear Rate
Stefan Vlaski, Ali H. Sayed
Driven by the need to solve increasingly complex optimization problems in signal processing and machine learning, there has been increasing interest in understanding the behavior o…
cs.MA2019
Adaptation and learning over networks under subspace constraints -- Part II: Performance Analysis
Roula Nassif, Stefan Vlaski, Ali H. Sayed
Part I of this paper considered optimization problems over networks where agents have individual objectives to meet, or individual parameter vectors to estimate, subject to subspac…