Sulaiman Alghunaim

A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization

Decentralized optimization is a powerful paradigm that finds applications in engineering and learning design. This work studies decentralized composite optimization problems with non-smooth regularization terms. Most existing gradient-based proximal decentralized methods are known to converge to…