AI RESEARCH
FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios
arXiv CS.AI
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ArXi:2603.16370v1 Announce Type: cross Federated Learning (FL) enables distributed optimization without compromising data sovereignty. Yet, where local label distributions are mutually exclusive, standard weight aggregation fails due to conflicting optimization trajectories. Often, FL methods rely on pretrained foundation models,