On-edge Multi-task Transfer Learning: Model and Practice with
Data-driven Task Allocation

On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation

6 July 2021

Papers citing "On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation"

11 / 11 papers shown

Title
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning Jihyun Lim Junhyuk Jo Tuo Zhang Salman Avestimehr Sunwoo Lee FedML 51 0 0 14 Mar 2025
Anole: Adapting Diverse Compressed Models For Cross-Scene Prediction On Mobile Devices Yunzhe Li Hongzi Zhu Zhuohong Deng Yunlong Cheng Liang Zhang Shan Chang Minyi Guo 31 0 0 09 May 2024
Micro-Fracture Detection in Photovoltaic Cells with Hardware-Constrained Devices and Computer Vision Booy Vitas Faassen Jorge Serrano P. Rosero-Montalvo 18 0 0 08 Mar 2024
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment Jing Wu Lin Wang Qirui Jin Fangming Liu 33 11 0 17 Dec 2023
Bridge the Present and Future: A Cross-Layer Matching Game in Dynamic Cloud-Aided Mobile Edge Networks Houyi Qi Minghui Liwang Xianbin Wang Li Li Wei Gong Jian Jin Zhenzhen Jiao 13 6 0 07 Dec 2023
Efficient Controllable Multi-Task Architectures Abhishek Aich S. Schulter A. Roy-Chowdhury Manmohan Chandraker Yumin Suh 43 5 0 22 Aug 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 34 13 0 16 Feb 2023
TFormer: A Transmission-Friendly ViT Model for IoT Devices Zhichao Lu Chuntao Ding Felix Juefei Xu Vishnu Boddeti Shangguang Wang Yun Yang 23 13 0 15 Feb 2023
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning Ji Liu Juncheng Jia Beichen Ma Chen Zhou Jingbo Zhou Yang Zhou H. Dai Dejing Dou FedML 38 24 0 24 Nov 2022
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification Shuai Wang Chengyang Li Derrick Wing Kwan Ng Yonina C. Eldar H. Vincent Poor Qi Hao Chengzhong Xu FedML 18 58 0 03 Jun 2022
Applying Machine Learning Techniques for Caching in Edge Networks: A Comprehensive Survey Junaid Shuja Kashif Bilal Waleed S. Alasmary Eisa A. Alanazi Abdulaziz S. Alashaikh 18 16 0 21 Jun 2020