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"

9 / 9 papers shown

Title
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 24 6 0 25 Jan 2024
Adaptive Parameterization of Deep Learning Models for Federated Learning Morten From Elvebakken Alexandros Iosifidis Lukas Esterle FedML 18 4 0 06 Feb 2023
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 35 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 43 59 0 02 Aug 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 22 2 0 03 May 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 13 9 0 26 Apr 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 97 53 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 24 3 0 12 Aug 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 44 243 0 29 Apr 2021