DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models

18 March 2023

Papers citing "DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models"

6 / 6 papers shown

Title
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions Chaoyue Niu Yucheng Ding Junhui Lu Zhengxiang Huang Hang Zeng Yutong Dai Xuezhen Tu Chengfei Lv Fan Wu Guihai Chen 27 1 0 17 Apr 2025
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction Jiahui Gong Jingtao Ding Fanjin Meng Guilong Chen Hong Chen Shen Zhao Haisheng Lu Yong Li MU 29 6 0 19 Aug 2024
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach Wen-li Yu Terence Jie Chua Junfeng Zhao 16 2 0 26 Oct 2023
FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing Terence Jie Chua Wen-li Yu Junfeng Zhao Kwok-Yan Lam FedML 16 5 0 26 Oct 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,835 0 18 Apr 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017