AIMC Topic: Poisons

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LFighter: Defending against the label-flipping attack in federated learning.

Neural networks : the official journal of the International Neural Network Society Nov 11, 2023
Federated learning (FL) provides autonomy and privacy by design to participating peers, who cooperatively build a machine learning (ML) model while keeping their private data in their devices. However, that same autonomy opens the door for malicious ...
Machine Learning Reproducibility of Results Privacy Neurons Poisons
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Utility of artificial intelligence to identify antihyperglycemic agents poisoning in the USA: introducing a practical web application using National Poison Data System (NPDS).

Environmental science and pollution research international Mar 27, 2023
Clinical effects of antihyperglycemic agents poisoning may overlap each other. So, distinguishing exposure to these pharmaceutical drugs may take work. This study examined the application of machine learning techniques in identifying antihyperglycemi...
Artificial Intelligence Algorithms Retrospective Studies Hypoglycemic Agents Poisons Biguanides
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