Abstract: In federated learning (FL), the heterogeneity of data and asynchronous participation of clients have been observed to induce the local client’s model discrepancy with high variance, leading ...
Abstract: Distributional approximation is a fundamental problem in machine learning with numerous applications across all fields of science and engineering and beyond. The key challenge in most ...
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