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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
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Computer Science > Machine Learning arXiv:2607.08784 (cs) [Submitted on 13 Jun 2026] Title:HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Authors:Thinh T. Nguyen, Le-Tuan Nguyen, Minh-Duong Nguyen, Nhi Trinh, Anh Tran Nam Nguyet, Dung D. Le, Kok-Seng Wong View a PDF of the paper titled HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning, by Thinh T.

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Computer Science > Machine Learning arXiv:2607.08784 (cs) [Submitted on 13 Jun 2026] Title:HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Authors:Thinh T. H. Nguyen, Le-Tuan Nguyen, Minh-Duong Nguyen, Nhi Trinh, Anh Tran Nam Nguyet, Dung D. Le, Kok-Seng Wong View a PDF of the paper titled HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning, by Thinh T. H. Nguyen and 6 other authors View PDF HTML (experimental) Abstract:Federated continual learning (FCL) evaluates how distributed clients learn from changing data streams while retaining previously learned knowledge.

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