arxiv
PublishedJuly 13, 2026 at 4:00 AM
—neutral
HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
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arXiv:2607.08784v1 Announce Type: cross Abstract: Federated continual learning (FCL) evaluates how distributed clients learn from changing data streams while retaining previously learned knowledge. Existing evaluations are difficult to compare because they often change datasets, task splits, client
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