Virginia Smith - A General Framework for Communication-Efficient Distributed... - MLconf SF 2016

Presentation slides: A General Framework for Communication-Efficient Distributed Optimization: Communication remains the most significant bottleneck in the performance of distributed optimization algorithms for large-scale machine learning. In light of this, we propose a general framework, CoCoA, that uses local computation in a primal-dual setting to dramatically reduce the amount of necessary communication. O