Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning

10 March 2020

Papers citing "Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning"

17 / 17 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey J. H. Liu Yao Du Kun Yang Yan Wang Xiping Hu Z. Wang Y. Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 31 0 0 03 May 2025
LoLaFL: Low-Latency Federated Learning via Forward-only Propagation Jierui Zhang Jianhao Huang Kaibin Huang 64 0 0 19 Dec 2024
Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices Weiheng Tang Jingyi Li Lin Chen Xu Chen 37 1 0 16 Jun 2024
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks Xiaonan Liu T. Ratnarajah M. Sellathurai Yonina C. Eldar 10 4 0 04 Sep 2023
Adaptive Federated Pruning in Hierarchical Wireless Networks Xiaonan Liu Shiqiang Wang Yansha Deng A. Nallanathan 19 10 0 15 May 2023
Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference Zhanwei Wang Kaibin Huang Yonina C. Eldar 20 9 0 10 May 2023
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP Shiva Raj Pokhrel Jinho D. Choi A. Walid 12 6 0 03 Nov 2022
Task-Oriented Over-the-Air Computation for Multi-Device Edge AI Dingzhu Wen Xiang Jiao Peixi Liu Guangxu Zhu Yuanming Shi Kaibin Huang 23 37 0 02 Nov 2022
Trustworthy Federated Learning via Blockchain Zhanpeng Yang Yuanming Shi Yong Zhou Zixin Wang Kai Yang 32 66 0 13 Aug 2022
Task-Oriented Sensing, Computation, and Communication Integration for Multi-Device Edge AI Dingzhu Wen Peixi Liu Guangxu Zhu Yuanming Shi Jie Xu Yonina C. Eldar Shuguang Cui 16 110 0 03 Jul 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 26 414 0 24 Nov 2021
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices Dingzhu Wen Ki-Jun Jeon Kaibin Huang FedML 66 88 0 30 Sep 2021
Over-the-Air Decentralized Federated Learning Yandong Shi Yong Zhou Yuanming Shi FedML 6 41 0 15 Jun 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer Qunsong Zeng Yuqing Du Kaibin Huang 10 35 0 24 Feb 2021
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni E. Hossain Xin Wang AI4CE 24 111 0 02 Dec 2020
Fast Convergence Algorithm for Analog Federated Learning Shuhao Xia Jingyang Zhu Yuhan Yang Yong Zhou Yuanming Shi Wei-Neng Chen FedML 11 31 0 30 Oct 2020
Adaptive Subcarrier, Parameter, and Power Allocation for Partitioned Edge Learning Over Broadband Channels Dingzhu Wen Ki-Jun Jeon M. Bennis Kaibin Huang 8 10 0 08 Oct 2020