OLGA and EF-OLGA are the first accelerated distributed optimization methods to combine compression with Hessian similarity, achieving record communication-time complexity.
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Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity
OLGA and EF-OLGA are the first accelerated distributed optimization methods to combine compression with Hessian similarity, achieving record communication-time complexity.