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2203.11751
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FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
22 March 2022
Liang Gao
Huazhu Fu
Li Li
Yingwen Chen
Minghua Xu
Chengzhong Xu
FedML
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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
Yan Sun
Li Shen
Tiansheng Huang
Liang Ding
Dacheng Tao
FedML
36
51
0
21 Feb 2023
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
40
6
0
13 Feb 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature
Hao Wu
Kai-An Yu
Chun-Mei Feng
Yiming Qian
K. Zou
Lianyu Wang
Rick Siow Mong Goh
Yong-Jin Liu
Huazhu Fu
OOD
37
1
0
30 Jan 2023
CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
Peng Zhang
Yingbo Zhou
Ming Hu
Xin Fu
Xian Wei
Mingsong Chen
FedML
29
1
0
28 Jan 2023
Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data
Shen Chen
Guodong Long
Tao Shen
Jing Jiang
AI4TS
30
36
0
22 Jan 2023
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
37
9
0
05 Dec 2022
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
34
1
0
17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
FedML
29
5
0
16 Nov 2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
Jinyu Chen
Wenchao Xu
Song Guo
Junxiao Wang
Jie Zhang
Yining Qi
FedML
28
32
0
15 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
Mingjie Wang
Jianxiong Guo
Weijia Jia
21
6
0
14 Nov 2022
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
30
1
0
28 Sep 2022
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
36
3
0
20 Jul 2022
Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update
H. Nguyen
Lam Phan
Harikrishna Warrier
Yogesh Gupta
FedML
14
5
0
18 Jul 2022
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
Huancheng Chen
H. Vikalo
FedML
14
13
0
01 Jun 2022
Communication-Efficient Federated Learning with Accelerated Client Gradient
Geeho Kim
Jinkyu Kim
Bohyung Han
FedML
40
11
0
10 Jan 2022
Specificity-Preserving Federated Learning for MR Image Reconstruction
Chun-Mei Feng
Yu-bao Yan
Shanshan Wang
Yong Xu
Ling Shao
Huazhu Fu
OOD
40
78
0
09 Dec 2021
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
13
11
0
17 Nov 2021
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features
Meirui Jiang
Xiaoxiao Li
Xiaofei Zhang
Michael Kamp
Qianming Dou
FedML
OOD
34
0
0
19 Oct 2021
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