FEDZIP: A Compression Framework for Communication-Efficient Federated
Learning

FEDZIP: A Compression Framework for Communication-Efficient Federated Learning

2 February 2021

Amirhossein Malekijoo

Mohammad Javad Fadaeieslam

Hanieh Malekijou

Morteza Homayounfar

F. Alizadeh-Shabdiz

Reza Rawassizadeh

Papers citing "FEDZIP: A Compression Framework for Communication-Efficient Federated Learning"

14 / 14 papers shown

Title
$γ$ -FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning Rongwei Lu Yutong Jiang Jinrui Zhang Chunyang Li Yifei Zhu Bin Chen Zhi Wang FedML 7 0 0 18 May 2025
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 45 6 0 25 Jan 2024
Adaptive Parameterization of Deep Learning Models for Federated Learning Morten From Elvebakken Alexandros Iosifidis Lukas Esterle FedML 26 4 0 06 Feb 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression Xiaoyun Li Ping Li FedML 34 4 0 25 Nov 2022
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 45 14 0 07 Sep 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 57 60 0 02 Aug 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 37 2 0 03 May 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 23 9 0 26 Apr 2022
ODSearch: Fast and Resource Efficient On-device Natural Language Search for Fitness Trackers' Data Reza Rawassizadeh Yitong Rong 18 6 0 31 Jan 2022
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning Irem Ergun Hasin Us Sami Başak Güler FedML 36 26 0 23 Dec 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 109 54 0 31 Oct 2021
Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates Srikanth Chandar Pravin Chandran Raghavendra Bhat Avinash Chakravarthi AI4CE 31 3 0 12 Aug 2021
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning Shaashwat Agrawal Sagnik Sarkar M. Alazab Praveen Kumar Reddy Maddikunta Thippa Reddy Gadekallu Viet Quoc Pham FedML 21 51 0 15 Jul 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 51 244 0 29 Apr 2021