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Kejia Fan

1 accepted papers

2026

DeepAFL: Deep Analytic Federated Learning

ICLR 2026poster

Federated Learning (FL) is a popular distributed learning paradigm to break down data silo. Traditional FL approaches largely rely on gradient-based updates, facing significant issues about heterogeneity, scalability, convergence, and overhead, etc. Recently, some analytic-learning-based work has at…

Cited by 0SourceScholar