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

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

18 March 2023
Yucheng Ding
Chaoyue Niu
Fan Wu
Shaojie Tang
Chengfei Lyu
Guihai Chen
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
Zheqi Lv
Wenqiao Zhang
Kairui Fu
Q. Tian
Shengyu Zhang
Jiajie Su
Jingyuan Chen
Kun Kuang
Fei Wu
KELM
92
0
0
08 Sep 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
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
299
2
0
17 Apr 2025
A Population-to-individual Tuning Framework for Adapting Pretrained LM
  to On-device User Intent Prediction
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent PredictionKnowledge Discovery and Data Mining (KDD), 2024
Jiahui Gong
Jingtao Ding
Fanjin Meng
Guilong Chen
Hong Chen
Shen Zhao
Haisheng Lu
Yong Li
MU
185
11
0
19 Aug 2024
Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation
  Models: A Multi-Agent Deep Reinforcement Learning Approach
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
174
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
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
198
6
0
26 Oct 2023
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