5 papers
Themis: Efficient Sparse Model Training Through Fully Sharded Sparse Data Parallelism
Yuhao Qing, Guichao Zhu, Lintian Lei +9
Mixture-of-Experts (MoE) scales large language models cost-effectively, but expert-parallel training suffers severe straggler effects from skewed expert loads. Current systems freq…
XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference
Shengnan Wang, Youhui Bai, Lin Zhang +7
Length generalization failure problem, namely the large language model (LLM) fails to generalize to texts longer than its maximum training length, greatly restricts the application…
AGRNav: Efficient and Energy-Saving Autonomous Navigation for Air-Ground Robots in Occlusion-Prone Environments
Junming Wang, Zekai Sun, Xiuxian Guan +6
The exceptional mobility and long endurance of air-ground robots are raising interest in their usage to navigate complex environments (e.g., forests and large buildings). However,…
Efficient and DoS-resistant Consensus for Permissioned Blockchains
Xusheng Chen, Shixiong Zhao, Ji Qi +10
Existing permissioned blockchain systems designate a fixed and explicit group of committee nodes to run a consensus protocol that confirms the same sequence of blocks among all nod…
NFVactor: A Resilient NFV System using the Distributed Actor Model
Jingpu Duan, Xiaodong Yi, Shixiong Zhao +3
Resilience functionality, including failure resilience and flow migration, is of pivotal importance in practical network function virtualization (NFV) systems. However, existing fa…