AINeutralarXiv – CS AI · Mar 36/107
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DeepAFL: Deep Analytic Federated Learning
Researchers propose DeepAFL, a new federated learning approach that uses gradient-free analytical solutions to address heterogeneity and scalability issues in traditional gradient-based FL systems. The method incorporates deep residual blocks with closed-form solutions, achieving 5.68%-8.42% performance improvements over existing baselines across benchmark datasets.