An Improved Adam's Algorithm for Stomach Image Classification
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DOI: 10.3390/a17070272
Abstract: Current stomach disease detection and diagnosis is challenged by data complexity and high dimensionality and requires effective deep learning algorithms to improve diagnostic accuracy. To address this challenge, in this paper, an improved strategy based… read more here.
Keywords: image; stomach; gradient norm; adam algorithm ... See more keywords
Generalized Federated Learning via Gradient Norm-Aware Minimization and Control Variables
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DOI: 10.3390/math12172644
Abstract: Federated Learning (FL) is a promising distributed machine learning framework that emphasizes privacy protection. However, inconsistencies between local optimization objectives and the global objective, commonly referred to as client drift, primarily arise due to non-independently… read more here.
Keywords: norm aware; aware minimization; client; gradient norm ... See more keywords