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FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling
  and Correction

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

22 March 2022
Liang Gao
H. Fu
Li Li
Yingwen Chen
Minghua Xu
Chengzhong Xu
    FedML
ArXivPDFHTML

Papers citing "FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"

18 / 118 papers shown
Title
FedSpeed: Larger Local Interval, Less Communication Round, and Higher
  Generalization Accuracy
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Yan Sun
Li Shen
Tiansheng Huang
Liang Ding
Dacheng Tao
FedML
29
51
0
21 Feb 2023
Federated attention consistent learning models for prostate cancer
  diagnosis and Gleason grading
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading
Fei Kong
Xiyue Wang
Jin-Peng Xiang
Sen Yang
Xinran Wang
...
Xiao Han
Yuhan Dong
Biyue Zhu
Fang Wang
Yueping Liu
MedIm
30
6
0
13 Feb 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature
Reliable Federated Disentangling Network for Non-IID Domain Feature
M. Wang
Kai-An Yu
Chun-Mei Feng
Yiming Qian
K. Zou
Lianyu Wang
Rick Siow Mong Goh
Yong-Jin Liu
H. Fu
OOD
27
1
0
30 Jan 2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated
  Learning
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
Peng Zhang
Yingbo Zhou
Ming Hu
Xin Fu
Xian Wei
Mingsong Chen
FedML
21
1
0
28 Jan 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation
  Models on Meteorological Data
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
Shen Chen
Guodong Long
Tao Shen
Jing Jiang
AI4TS
17
36
0
22 Jan 2023
On the effectiveness of partial variance reduction in federated learning
  with heterogeneous data
On the effectiveness of partial variance reduction in federated learning with heterogeneous data
Bo-wen Li
Mikkel N. Schmidt
T. S. Alstrøm
Sebastian U. Stich
FedML
23
9
0
05 Dec 2022
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under
  Non-IID Data
FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data
Ming Yang
Yanhan Wang
Xin Wang
Zhenyong Zhang
Xiaoming Wu
Peng Cheng
FedML
18
1
0
17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
FedML
21
5
0
16 Nov 2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with
  Pre-trained Transformers
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
Jinyu Chen
Wenchao Xu
Song Guo
Junxiao Wang
Jie M. Zhang
Haozhao Wang
FedML
15
32
0
15 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously
  Correlate User Heterogeneity
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
Mingjie Wang
Jianxiong Guo
Weijia Jia
19
6
0
14 Nov 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive
  Bi-directional Global Objective
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective
Ping Luo
Jieren Cheng
Zhenhao Liu
N. Xiong
Jie Wu
FedML
8
1
0
28 Sep 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph
  Topology
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
Tuong Khanh Long Do
Binh X. Nguyen
Vuong Pham
Toan V. Tran
Erman Tjiputra
Quang-Dieu Tran
A. Nguyen
FedML
AI4CE
23
3
0
20 Jul 2022
Federated Learning for Non-IID Data via Client Variance Reduction and
  Adaptive Server Update
Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update
H. Nguyen
Lam Phan
Harikrishna Warrier
Yogesh Gupta
FedML
12
5
0
18 Jul 2022
Federated Learning in Non-IID Settings Aided by Differentially Private
  Synthetic Data
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
Huancheng Chen
H. Vikalo
FedML
6
13
0
01 Jun 2022
Communication-Efficient Federated Learning with Accelerated Client
  Gradient
Communication-Efficient Federated Learning with Accelerated Client Gradient
Geeho Kim
Jinkyu Kim
Bohyung Han
FedML
24
11
0
10 Jan 2022
Specificity-Preserving Federated Learning for MR Image Reconstruction
Specificity-Preserving Federated Learning for MR Image Reconstruction
Chun-Mei Feng
Yu-bao Yan
Shanshan Wang
Yong Xu
Ling Shao
H. Fu
OOD
24
76
0
09 Dec 2021
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps
Xiaopeng Jiang
Han Hu
Vijaya Datta Mayyuri
An M. Chen
D. Shila
Adriaan Larmuseau
Ruoming Jin
Cristian Borcea
Nhathai Phan
FedML
6
11
0
17 Nov 2021
UniFed: A Unified Framework for Federated Learning on Non-IID Image
  Features
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features
Meirui Jiang
Xiaoxiao Li
Xiaofei Zhang
Michael Kamp
Qianming Dou
FedML
OOD
24
0
0
19 Oct 2021
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