What are the emerging trends in privacy-preserving fine-tuning techniques?

Feb 25, 2025 ... AI model fine-tuning is the process that data scientists and machine learning (ML) engineers use to adapt a trained ML model to perform better ... May 24, 2019 ... It integrates the huggingface library with the fastai library to fine-tune the BERT model, with an application on an old Kaggle competition. Jan 27, 2025 ... ... learning, in both children and in deep learning. There is 1) imitation learning (watch and repeat, i.e. pretraining, supervised finetuning) ... Sep 27, 2023 ... Fine-tuning is a technique used in deep learning to enhance pre-trained models and improve their performance at specific tasks. Fine-tuning ... Jun 10, 2024 ... By fine-tuning only the adapter layers, the original parameters of ... Our research in machine learning breaks new ground every day. Jun 26, 2024 ... PDF | Tasks like SAR ship classification suffer in deep learning due to data scarcity and class imbalance. To overcome these challenges, ... Apr 18, 2023 ... As mentioned above, fine-tuning consists of making slight adjustments. This, within deep learning, means using the weights of an existing deep ... Jun 6, 2022 ... Title:Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ... Abstract:We consider fine-tuning a pretrained ... This paper examines how well deep networks can diagnose various cancers using histopathology image processing. Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans Med Imaging. 2018 Jul;37(7):1562-1573. doi: 10.1109 ...