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Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
Finally the method is extended to distributed saddle-problems (under function similarity) by means of solving a class of variational inequalities, achieving lower communication and computation complexity bounds.
Decentralized Personalized Federated Learning for Min-Max Problems
Personalized Federated Learning (PFL) has witnessed remarkable advancements, enabling the development of innovative machine learning applications that preserve the privacy of training data.
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