Privacy is important considering the financial Domain as such data is highly
confidential and sensitive. Natural Language Processing (NLP) techniques can be
applied for text classification and entity detection purposes in financial
domains such as customer feedback sentiment analysis, invoice entity detection,
categorisation of financial documents by type etc. Due to the sensitive nature
of such data, privacy measures need to be taken for handling and training large
models with such data. In this work, we propose a contextualized transformer
(BERT and RoBERTa) based text classification model integrated with privacy
features such as Differential Privacy (DP) and Federated Learning (FL). We
present how to privately train NLP models and desirable privacy-utility
tradeoffs and evaluate them on the Financial Phrase Bank dataset.

360 Mobile Vision - 360mobilevision.com North & South Carolina Security products and Systems Installations for Commercial and Residential - $55 Hourly Rate. ACCESS CONTROL, INTRUSION ALARM, ACCESS CONTROLLED GATES, INTERCOMS AND CCTV INSTALL OR REPAIR 360 Mobile Vision - 360mobilevision.com is committed to excellence in every aspect of our business. We uphold a standard of integrity bound by fairness, honesty and personal responsibility. Our distinction is the quality of service we bring to our customers. Accurate knowledge of our trade combined with ability is what makes us true professionals. Above all, we are watchful of our customers interests, and make their concerns the basis of our business.

By admin