1 code implementation • 16 Oct 2023 • Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang
FATE-LLM (1) facilitates federated learning for large language models (coined FedLLM); (2) promotes efficient training of FedLLM using parameter-efficient fine-tuning methods; (3) protects the intellectual property of LLMs; (4) preserves data privacy during training and inference through privacy-preserving mechanisms.
1 code implementation • 21 Apr 2023 • Weijing Chen, Linli Yao, Qin Jin
The reason is that a large amount of images and texts in the benchmarks are coarse-grained.
1 code implementation • 17 Nov 2022 • Linli Yao, Weijing Chen, Qin Jin
Automatically generating textual descriptions for massive unlabeled images on the web can greatly benefit realistic web applications, e. g. multimodal retrieval and recommendation.
1 code implementation • 21 Oct 2021 • Weijing Chen, Guoqiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang
Gradient boosting decision tree (GBDT) is a widely used ensemble algorithm in the industry.