Artificial intelligence (AI) is no longer confined to centralized data centers. It is increasingly distributed across edge devices, enterprises, multiple cloud providers, and autonomous software ...
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Abstract: As a distributed machine learning method, federated learning (FL) can collaboratively train a global model with multiple devices without sharing the original data, thus protecting certain ...
Abstract: Machine Learning (ML) has become a cornerstone in numerous applications, creating the need for secure and efficient distributed ML frameworks. However, maintaining data privacy in these ...
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