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IEEE/ICACT20260326 Slide.04        [Big Slide]	Oral Presentation
	Slide 4. Our contributions are summarized as follows: 1. FSANL, a single-stage federated framework that is robust to non-IID distributions and client-level heterogeneous label noise. 2. FSANL introduces a unified loss function combining symmetric and active negative loss components with L1- based global model regularization. 3. Extensive experiments on CIFAR-10 demonstrate the effectiveness and scalability of FSANL compared to state-of-the-art baselines.

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