Efficient Decentralized Optimization for Machine Learning with Reduced Data Access

The authors propose a new projection-free decentralized optimization method, the Inexact Primal-Dual Sliding (I-PDS) algorithm, that achieves communication efficiency and reduces the number of data oracle calls compared to prior work.