Can Machine Learning Evolve Beyond Public Data Limits? This Research from China Introduces OpenFedLLM: Pioneering Collaborative and Privacy-Preserving Training of Large Language Models Using Federated Learning

Can Machine Learning Evolve Beyond Public Data Limits? This Research from China Introduces OpenFedLLM: Pioneering Collaborative and Privacy-Preserving Training of Large Language Models Using Federated Learning

by | Feb 27, 2024 | Uncategorized

LLMs, trained on extensive public datasets, have shown remarkable success across various fields, but the depletion of high-quality public data is imminent by 2026. Due to this scarcity, researchers combine existing datasets or generate model-created data. However,...