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Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
- Combining gradient compression methods and adaptive optimizers in federated learning.
- Introducing specific sketched adaptive federated learning (SAFL) algorithms.
- Theoretical convergence analyses show improved communication cost in FL settings.
- Empirical studies support the effectiveness of SAFL methods in vision and language tasks.
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