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تسجيل مستخدم جديدOn the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization
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In decentralized optimization, it is common algorithmic practice to have nodes interleave (local) gradient descent iterations with gossip (i.e. averaging over the network) steps. Motivated by the training of large-scale machine learning models, it is also increasingly common to require that messages be {em lossy compresse
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