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On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems
Federated Learning (FL) has emerged as a promising paradigm for preserving client data ownership and control over distributed Internet of Things (IoT) environments. While discriminative models dominate most FL use cases, recent advances in generative models - such as Variational Autoencoders (VAE),
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