# Recent & Upcoming Talks

### Identification-Based First-Order Algorithms for Distributed Learning

In this talk, we present a first-order optimization algorithm for distributed learning problems. We propose an efficient sparsification …

### Distributed First-Order Optimization with Tamed Communications

Many machine learning and signal processing applications involve high-dimensional nonsmooth optimization problems. The nonsmoothness is …

### Identify and Sparsify$:$ Distributed Optimization with Asynchronous Moderate Communications

We present an asynchronous optimization algorithm for distributed learning, that efficiently reduces the communications between a …

### Identify and Sparsify$:$ Distributed Optimization with Asynchronous Moderate Communications

We present an asynchronous optimization algorithm for distributed learning, that efficiently reduces the communications between a …

### Distributed Optimization with Sparse Communications and Structure Identification

We propose an efficient distributed algorithm for solving regularized learning problems. In a distributed framework with a master …

### Distributed Optimization with Sparse Communications and Structure Identification

We propose an efficient distributed algorithm for solving regularized learning problems. In a distributed framework with a master …

### Distributed Optimization with Sparse Communications

We present an asynchronous optimization algorithm for distributed learning, that efficiently reduces the communications between a …

### Solving of Minimal Mutual Information Model Problem via Regularization of Dual Problem and Using Ellipsoid Method with Inexact Oracle

In this work, we study the problem of restoring the correspondence matrix for measuring the flows on the links of a large computer …