Research Article
Local Epochs Inefficiency Caused by Device Heterogeneity in Federated Learning
Algorithm 1
Dimensionality reduction.
Input: weights model, the number of dataset, feature set, dataset , the amount of dataset | Output: the set of key features | 1: Initialize | 2: For each dataset | 3: ⟵GetWeights | 4: ⟵rank | 5: End for | 6: For in do | 7: | 8: | 9: Ifthen | 10: AddNewFeature | 11: End if | 12: End for | 13: Return |
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