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Watermark Robustness and Radioactivity May Be at Odds in Federated Learning
Federated learning (FL) enables fine-tuning large language models (LLMs) across distributed data sources. As these sources increasingly include LLM-generated text, provenance tracking becomes essential for accountability and transparency. We adapt LLM watermarking for FL data provenance, where a sub
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