FedVQCS: Federated Learning via Vector Quantized Compressed Sensing

16 April 2022

Papers citing "FedVQCS: Federated Learning via Vector Quantized Compressed Sensing"

8 / 8 papers shown

Title
FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization Xu Yang Jiapeng Zhang Qifeng Zhang Zhuo Tang MQ 33 0 0 21 Apr 2024
Communication-Efficient Federated Learning over Capacity-Limited Wireless Networks Jae-Bok Yun Yong-Nam Oh Yo-Seb Jeon H. Vincent Poor 22 2 0 20 Jul 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 33 7 0 20 Jul 2023
Random Orthogonalization for Federated Learning in Massive MIMO Systems Xizixiang Wei Cong Shen Jing Yang H. Vincent Poor 52 14 0 18 Oct 2022
Rethinking Normalization Methods in Federated Learning Zhixu Du Jingwei Sun Ang Li Pin-Yu Chen Jianyi Zhang H. Li Yiran Chen FedML 29 28 0 07 Oct 2022
Tighter Regret Analysis and Optimization of Online Federated Learning Dohyeok Kwon Jonghwan Park Songnam Hong 28 11 0 13 May 2022
FedDQ: Communication-Efficient Federated Learning with Descending Quantization Linping Qu Shenghui Song Chi-Ying Tsui FedML MQ 137 26 0 05 Oct 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019