TraceFL
PublicTraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients responsible for global model predictions, achieving 99% accuracy across diverse datasets (e.g., medical imaging) and neural networks (e.g., GPT).
accountabilitydebuggingdifferential-privacyexplainabilityexplainable-aifederated-learninginterpretabilityinterpretability-and-explainabilitymachine-learningsoftware-engineering
Hora de creación：2024-08-14T01:48:04
Hora de actualización：2025-03-27T01:24:56
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