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CTP-FL: Common-Trajectory Gradient Prediction for Federated Learning
Communication-efficient federated optimization commonly spends several gradient evaluations between server updates. Existing local-update methods use this computation to advance an independent model on each client. Under heterogeneous data, however, these models evaluate gradients at differe
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