Federated Domain-Specific Knowledge Transfer on Large Language Models
Using Synthetic Data

Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data

23 May 2024

Hanlin Gu

Papers citing "Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data"

10 / 60 papers shown

Title
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 367 20,053 0 23 Oct 2019
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations Oluwaseyi Feyisetan Borja Balle Thomas Drake Tom Diethe 52 156 0 20 Oct 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.0K 12,129 0 27 Aug 2019
Parameter-Efficient Transfer Learning for NLP N. Houlsby A. Giurgiu Stanislaw Jastrzebski Bruna Morrone Quentin de Laroussilhe Andrea Gesmundo Mona Attariyan Sylvain Gelly 208 4,439 0 02 Feb 2019
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 286 4,636 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 124 1,895 0 08 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 189 6,101 0 01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,399 0 17 Feb 2016
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 242 6,100 0 04 Sep 2015
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 115 1,465 0 06 Mar 2008