7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 7 cited
Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
Xingwu Sun, Yanfeng Chen, Yiqing Huang +105
In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 bill…
cs.DC2024
Bridging Memory Gaps: Scaling Federated Learning for Heterogeneous Clients
Yebo Wu, Jingguang Li, Chunlin Tian +3
Federated Learning (FL) enables multiple clients to collaboratively train a shared model while preserving data privacy. However, the high memory demand during model training severe…
cs.AI2024
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
Haicheng Liao, Yongkang Li, Zhenning Li +10
Accurately and safely predicting the trajectories of surrounding vehicles is essential for fully realizing autonomous driving (AD). This paper presents the Human-Like Trajectory Pr…