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Yurui Zhou

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Jul 2026

Regularization-Enhanced Federated Class-Incremental Learning with Generative Replay for Smart Edge

This work proposes RAVEL-FCL, a generative replay-based framework for federated continual learning that integrates an improved generative model based on Rebooting ACGAN with multi-level feature alignment to ensure consistency and employs Elastic Variational Continual Learning on the server to probabilistically regulari...

Yurui Zhou, Jia Hu, G. Min et al. · 0 citations

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