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Raw results and figures for the paper Schema-Augmented LLM Prompting for Converting ML Training Scripts to Federated Learning Clients (ACM TOSEM, resubmission 2026). v2.0 adds the corrected reruns (validator stage classification, sample-weighted FedAvg simulations, overall and macro accuracy) and the resubmission exper...
Source code, benchmark suite, and generated client files for the paper Schema-Augmented LLM Prompting for Converting ML Training Scripts to Federated Learning Clients (ACM TOSEM, resubmission 2026). v2.0 corrects FedAvg to sample-count weighting, partitions the IID simulation, moves generated-module import to preflight...
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