New Federated Learning Aggregation Rules Keep AI Training Stable When Client Data Diverge
Researchers propose CROG and CLIG, two aggregation algorithms that weight client updates by Euclidean gradient distances to stabilize federated learning ...
Researchers propose CROG and CLIG, two aggregation algorithms that weight client updates by Euclidean gradient distances to stabilize federated learning ...
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