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Federated Learning Tokenizer for Finance by neto.cayro is a document available to read on EtoBox.

The document presents a Federated Byte-level Byte-Pair Encoding (BPE) Tokenizer (FedByteBPE) that uses Federated Learning to train language model tokenizers while preserving privacy across distributed datasets, particularly in the finance sector. It demonstrates that this federated approach significantly enhances vocabulary coverage compared to traditional tokenizers, ensuring compliance with privacy regulations like GDPR. The paper details the methodology, experimental results, and contributions of this no

Author

neto.cayro

Language

EN