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FedReLa achieves significant accuracy gains for minority classes in federated learning without requiring knowledge of global class distributions.
Existing text-to-image benchmarks miss the mark on real-world artistic creation, but Qwen-Image-Bench finally provides a creator-centric evaluation that reliably distinguishes state-of-the-art models.
