Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices

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Advances in Robust Federated Learning: Heterogeneity Considerations

C Chen, T Liao, X Deng, Z Wu, S Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
In the field of heterogeneous federated learning (FL), the key challenge is to efficiently and
collaboratively train models across multiple clients with different data distributions, model …
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