Dynamic edge association and resource allocation in self-organizing hierarchical federated learning networks
Federated Learning (FL) is a promising privacy-preserving distributed machine learning paradigm. However, communication inefficiency remains the key bottleneck that impedes its large-scale implementation. Recently, hierarchical FL (HFL) has been proposed in which data owners, i.e., workers, can firs...
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Main Authors: | , , , , , |
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格式: | Article |
語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/156039 |
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