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Dataset Distillation-based Hybrid Federated Learning on Non-IID Data

Dataset Distillation-based Hybrid Federated Learning on Non-IID Data

26 September 2024
Xiufang Shi
Wei Zhang
Mincheng Wu
Guangyi Liu
Z. Wen
Shibo He
Tejal Shah
R. Ranjan
    DDFedML
ArXiv (abs)PDFHTML

Papers citing "Dataset Distillation-based Hybrid Federated Learning on Non-IID Data"

18 / 18 papers shown
Title
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
106
92
0
13 Jan 2023
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
Renjie Pi
Weizhong Zhang
Yueqi Xie
Jiahui Gao
Xiaoyu Wang
Sunghun Kim
Qifeng Chen
DD
81
28
0
20 Nov 2022
Dataset Distillation by Matching Training Trajectories
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedMLDD
185
395
0
22 Mar 2022
Dataset Condensation with Distribution Matching
Dataset Condensation with Distribution Matching
Bo Zhao
Hakan Bilen
DD
77
308
0
08 Oct 2021
Model-Contrastive Federated Learning
Model-Contrastive Federated Learning
Qinbin Li
Bingsheng He
Basel Alomair
FedML
102
1,049
0
30 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model
  Aggregations
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations
F. Lin
Seyyedali Hosseinalipour
Sheikh Shams Azam
Christopher G. Brinton
Nicolò Michelusi
FedML
85
112
0
18 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedMLOOD
168
992
0
03 Feb 2021
Mitigating Bias in Federated Learning
Mitigating Bias in Federated Learning
Annie Abay
Yi Zhou
Nathalie Baracaldo
Shashank Rajamoni
Ebube Chuba
Heiko Ludwig
AI4CE
74
94
0
04 Dec 2020
FedAT: A High-Performance and Communication-Efficient Federated Learning
  System with Asynchronous Tiers
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
Zheng Chai
Yujing Chen
Ali Anwar
Liang Zhao
Yue Cheng
Huzefa Rangwala
FedML
62
124
0
12 Oct 2020
Distilled One-Shot Federated Learning
Distilled One-Shot Federated Learning
Yanlin Zhou
George Pu
Xiyao Ma
Xiaolin Li
D. Wu
FedMLDD
144
161
0
17 Sep 2020
Flexible Dataset Distillation: Learn Labels Instead of Images
Flexible Dataset Distillation: Learn Labels Instead of Images
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
DD
87
110
0
15 Jun 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
275
6,294
0
10 Dec 2019
Dataset Distillation
Dataset Distillation
Tongzhou Wang
Jun-Yan Zhu
Antonio Torralba
Alexei A. Efros
DD
94
297
0
27 Nov 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
136
21,488
0
08 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
285
8,928
0
25 Aug 2017
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
752
37,895
0
20 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
408
17,615
0
17 Feb 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
533
62,409
0
04 Jun 2015
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