Communication-Efficient Federated Learning with Binary Neural Networks

Communication-Efficient Federated Learning with Binary Neural Networks

5 October 2021

Papers citing "Communication-Efficient Federated Learning with Binary Neural Networks"

12 / 12 papers shown

Title
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization Shiwei Li Wenchao Xu Haozhao Wang Xing Tang Yining Qi Shijie Xu Weihong Luo Yuhua Li Xiuqiang He Ruixuan Li FedML 25 2 0 06 Aug 2024
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization Xu Han Wen Chen Jun Li Ming Ding Qing-Bin Wu Kang Wei Xiumei Deng Zhen Mei MQ 24 1 0 20 Feb 2024
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 26 16 0 01 Dec 2023
Binary Federated Learning with Client-Level Differential Privacy Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 8 2 0 07 Aug 2023
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning Jianhua Wang Xiaolin Chang J. Misic Vojislav B. Mišić Lin Li Yingying Yao FedML 6 3 0 01 Jun 2023
Advancements in Federated Learning: Models, Methods, and Privacy Hui Chen Huandong Wang Qingyue Long Depeng Jin Yong Li FedML 23 13 0 22 Feb 2023
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 8 27 0 19 Jul 2022
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 13 3 0 19 Jul 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 19 395 0 01 Jun 2022
How global observation works in Federated Learning: Integrating vertical training into Horizontal Federated Learning Shuo Wan Jiaxun Lu Pingyi Fan Yunfeng Shao Chenghui Peng Khaled B. Letaief FedML 11 14 0 02 Dec 2021
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 9 23 0 15 Nov 2021
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 138 1,663 0 14 Apr 2018