8 citations · 24 across the 27 of their papers we have counts for
4 papers · 1 filter
Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity
Xuefeng Han, Wen Chen, Jun Li +6
Multimodal federated learning (MFL) is a distributed framework for training multimodal models without uploading local multimodal data of clients, thereby effectively protecting cli…
FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs
Haijun Zhang, Jinxiang Wang, Zhenhua Yu +20
Large language models (LLMs) have made a profound impact across various fields due to their advanced capabilities. However, training these models at unprecedented scales requires e…
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
Xianrui Li, Yufei Cui, Jun Li +1
Advances in medical imaging and deep learning have propelled progress in whole slide image (WSI) analysis, with multiple instance learning (MIL) showing promise for efficient and a…
DuckSegmentation: A segmentation model based on the AnYue Hemp Duck Dataset
Ling Feng, Tianyu Xie, Wei Ma +4
The modernization of smart farming is a way to improve agricultural production efficiency, and improve the agricultural production environment. Although many large models have achi…