our technical contributions and the importance of the work

Neural Information Processing Systems 

We thank the reviewers for their constructive comments. We provide the first convergence result for alternating GDA for more general problems. Unlike simultaneous GDA, our alternating GDA uses different learning rates for the primal and dual variables. PL function and introducing a balancing parameter to establish the contraction. Significant advance has been recognized by utilizing the PL conditions in these field.

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