Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for
Collaborative DNN Training on Heterogeneous Edge Devices

Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices

15 August 2024

Xu Chen

Papers citing "Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices"

7 / 7 papers shown

Title
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices Shengyuan Ye Bei Ouyang Liekang Zeng Tianyi Qian Xiaowen Chu Jian Tang Xu Chen 37 1 0 11 Apr 2025
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices Yunlong Mao Mingyang Niu Ziqin Dang Chengxi Li Hanning Xia Yuejuan Zhu Haoyu Bian Yuan Zhang Jingyu Hua Sheng Zhong FedML 62 0 0 19 Mar 2025
MobiLLM: Enabling LLM Fine-Tuning on the Mobile Device via Server Assisted Side Tuning Liang Li Xingke Yang Wen Wu Hao Wang Tomoaki Ohtsuki Xin Fu Miao Pan Xuemin Shen 44 1 0 27 Feb 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 65 2 0 08 Jan 2025
Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-Tuning Bei Ouyang Shengyuan Ye Liekang Zeng Tianyi Qian Jingyi Li Xu Chen 66 3 0 20 Aug 2024
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing Liekang Zeng Shengyuan Ye Xu Chen Yang Yang 32 11 0 27 Apr 2024
Quantization of Deep Neural Networks for Accurate Edge Computing Wentao Chen Hailong Qiu Zhuang Jian Chutong Zhang Yu Hu Qing Lu Tianchen Wang Yiyu Shi Meiping Huang Xiaowe Xu 52 21 0 25 Apr 2021