A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal ...
Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the representation performance.
Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...
FedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting ...
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(Nanowerk News) In the Internet of Things, the network devices have been more vulnerable to various intrusion attacks. Most of the existing algorithms are trained in a centralized manner, which may ...