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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"

50 / 118 papers shown
Title
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Ranking-Based At-Risk Student Prediction Using Federated Learning and Differential Features
Shunsuke Yoneda
Valdemar Švábenský
Gen Li
Daisuke Deguchi
Atsushi Shimada
14
0
0
14 May 2025
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
Haodong Zhao
Peng Peng
Chiyu Chen
Linqing Huang
Gongshen Liu
FedML
16
0
0
13 May 2025
Balancing Client Participation in Federated Learning Using AoI
Balancing Client Participation in Federated Learning Using AoI
Alireza Javani
Zhiying Wang
41
0
0
08 May 2025
Federated Client-tailored Adapter for Medical Image Segmentation
Federated Client-tailored Adapter for Medical Image Segmentation
Guyue Hu
Siyuan Song
Yukun Kang
Z. Yin
Gangming Zhao
Chenglong Li
Jin Tang
FedML
MedIm
124
0
0
25 Apr 2025
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
Weijie Liu
Ziwei Zhan
Carlee Joe-Wong
Edith Ngai
Jingpu Duan
Deke Guo
Xu Chen
X. Zhang
FedML
43
0
0
24 Apr 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning
Zekai Chen
Xunkai Li
Y. X. Zhu
Rong-Hua Li
Guoren Wang
FedML
27
0
0
19 Apr 2025
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
Phung Lai
Guanxiong Liu
Hai Phan
Issa M. Khalil
Abdallah Khreishah
Xintao Wu
FedML
33
0
0
17 Apr 2025
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data
Yuan Zhou
Jiachen Zhong
Xinli Shi
G. Wen
Xinghuo Yu
FedML
31
0
0
16 Apr 2025
Federated Prototype Graph Learning
Federated Prototype Graph Learning
Zhengyu Wu
Xunkai Li
Y. X. Zhu
R. Li
Guoren Wang
Chenghu Zhou
FedML
36
0
0
13 Apr 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark
Federated Learning for Medical Image Classification: A Comprehensive Benchmark
Zhekai Zhou
Guibo Luo
Mingzhi Chen
Zhenyu Weng
Yuesheng Zhu
FedML
21
0
0
07 Apr 2025
Operator Learning: A Statistical Perspective
Operator Learning: A Statistical Perspective
Unique Subedi
Ambuj Tewari
26
0
0
04 Apr 2025
On Model Protection in Federated Learning against Eavesdropping Attacks
On Model Protection in Federated Learning against Eavesdropping Attacks
Dipankar Maity
Kushal Chakrabarti
FedML
65
0
0
02 Apr 2025
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation
Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation
Junyi Zhu
Ruicong Yao
Taha Ceritli
Savas Ozkan
Matthew B. Blaschko
Eunchung Noh
Jeongwon Min
Cho Jung Min
Mete Ozay
FedML
98
0
0
26 Mar 2025
Distributionally Robust Federated Learning: An ADMM Algorithm
Distributionally Robust Federated Learning: An ADMM Algorithm
Wen Bai
Yi Wong
Xiao Qiao
Chin Pang Ho
FedML
OOD
63
0
0
24 Mar 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
Changlong Shi
He Zhao
Bingjie Zhang
Mingyuan Zhou
Dandan Guo
Yi Chang
42
0
0
20 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi
Jinmeng Li
He Zhao
D. Guo
Yi Chang
FedML
47
0
0
19 Mar 2025
A Survey on Federated Fine-tuning of Large Language Models
A Survey on Federated Fine-tuning of Large Language Models
Yebo Wu
Chunlin Tian
Jingguang Li
He Sun
Kahou Tam
Li Li
Chengzhong Xu
FedML
81
0
0
15 Mar 2025
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification
Barış Büyüktaş
Gencer Sumbul
Begum Demir
47
1
0
13 Mar 2025
Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition
Wei Chen
Qiang Qiu
FedML
57
0
0
11 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
82
0
0
09 Mar 2025
Federated Learning for Diffusion Models
Zihao Peng
Xijun Wang
Shengbo Chen
Hong Rao
Cong Shen
DiffM
FedML
46
0
0
09 Mar 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
Mehdi Ben Ghali
R. Bellafqira
G. Coatrieux
AAML
FedML
41
0
0
21 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu
Jiaze Li
Wanyi Wu
Hao Ren
FedML
41
0
0
20 Jan 2025
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
S. Chowdhury
Raju Halder
FedML
27
0
0
31 Dec 2024
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI
  Data
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data
Serkan Salturk
Irem Sayin
Ibrahim Cem Balci
Taha Emre Pamukcu
Zafer Soydan
Huseyin Uvet
36
0
0
25 Dec 2024
Non-Convex Optimization in Federated Learning via Variance Reduction and
  Adaptive Learning
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Sajal K. Das
FedML
67
0
0
16 Dec 2024
Review of Mathematical Optimization in Federated Learning
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
67
0
0
02 Dec 2024
Personalized Federated Learning via Feature Distribution Adaptation
Personalized Federated Learning via Feature Distribution Adaptation
Connor Mclaughlin
Lili Su
FedML
OOD
37
1
0
01 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation
Federated Black-Box Adaptation for Semantic Segmentation
Jay N. Paranjape
S. Sikder
S. Vedula
Vishal M. Patel
FedML
27
0
0
31 Oct 2024
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services
Hongjia Wu
Hui Zeng
Zehui Xiong
Jiawen Kang
Zhiping Cai
Tse-Tin Chan
Dusit Niyato
Zhu Han
25
0
0
25 Oct 2024
TPFL: A Trustworthy Personalized Federated Learning Framework via
  Subjective Logic
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic
Jinqian Chen
Jihua Zhu
21
0
0
16 Oct 2024
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning
Yubo Peng
Feibo Jiang
Li Dong
Kezhi Wang
Kun Yang
FedML
28
0
0
11 Oct 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
Xunkai Li
Y. X. Zhu
Boyang Pang
Guochen Yan
Yeyu Yan
Zening Li
Zhengyu Wu
Wentao Zhang
Rong-Hua Li
Guoren Wang
FedML
28
0
0
29 Aug 2024
Neighborhood and Global Perturbations Supported SAM in Federated
  Learning: From Local Tweaks To Global Awareness
Neighborhood and Global Perturbations Supported SAM in Federated Learning: From Local Tweaks To Global Awareness
Boyuan Li
Zihao Peng
Yafei Li
Mingliang Xu
Shengbo Chen
Baofeng Ji
Cong Shen
FedML
58
0
0
26 Aug 2024
Stabilized Proximal-Point Methods for Federated Optimization
Stabilized Proximal-Point Methods for Federated Optimization
Xiaowen Jiang
Anton Rodomanov
Sebastian U. Stich
FedML
44
1
0
09 Jul 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway
  Detection
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
Yi Li
Plamen Angelov
Zhengxin Yu
Alvaro Lopez Pellicer
Neeraj Suri
26
2
0
22 Jun 2024
Privacy-preserving Quantification of Non-IID Degree in Federated
  Learning
Privacy-preserving Quantification of Non-IID Degree in Federated Learning
Yuping Yan
Yizhi Wang
Yingchao Yu
Yaochu Jin
FedML
16
0
0
14 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction
Certifiably Byzantine-Robust Federated Conformal Prediction
Mintong Kang
Zhen Lin
Jimeng Sun
Cao Xiao
Bo-wen Li
FedML
26
3
0
04 Jun 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous
  Federated Learning
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning
Zhuang Qi
Lei Meng
Weihao He
Ruohan Zhang
Yu Wang
Xin Qi
Xiangxu Meng
FedML
28
4
0
30 May 2024
Federated Learning under Partially Class-Disjoint Data via Manifold
  Reshaping
Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
Ziqing Fan
Jiangchao Yao
Ruipeng Zhang
Lingjuan Lyu
Ya-Qin Zhang
Yanfeng Wang
FedML
32
2
0
29 May 2024
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in
  Federated Learning
FedSAC: Dynamic Submodel Allocation for Collaborative Fairness in Federated Learning
Zihui Wang
Zheng Wang
Lingjuan Lyu
Zhaopeng Peng
Zhicheng Yang
Chenglu Wen
Rongshan Yu
Cheng-i Wang
Xiaoliang Fan
FedML
35
2
0
28 May 2024
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning
  and Logit Distillation
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation
Yuting Ma
Lechao Cheng
Yaxiong Wang
Zhun Zhong
Xiaohua Xu
Meng Wang
FedML
27
4
0
27 May 2024
Transformer-based Federated Learning for Multi-Label Remote Sensing
  Image Classification
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification
Baris Büyüktas
Kenneth Weitzel
Sebastian Völkers
Felix Zailskas
Begum Demir
31
4
0
24 May 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based
  Generative Memory
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
Naibo Wang
Yuchen Deng
Wenjie Feng
Jianwei Yin
See-Kiong Ng
DiffM
FedML
34
1
0
22 May 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein
Amrit Singh Bedi
Abdirisak Mohamed
Furong Huang
FedML
29
0
0
22 May 2024
FedASTA: Federated adaptive spatial-temporal attention for traffic flow
  prediction
FedASTA: Federated adaptive spatial-temporal attention for traffic flow prediction
Kai Li
Yihan Zhang
Xinlei Chen
16
0
0
21 May 2024
Distributed Event-Based Learning via ADMM
Distributed Event-Based Learning via ADMM
Güner Dilsad Er
Sebastian Trimpe
Michael Muehlebach
FedML
29
2
0
17 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
36
2
0
16 May 2024
LightTR: A Lightweight Framework for Federated Trajectory Recovery
LightTR: A Lightweight Framework for Federated Trajectory Recovery
Ziqiao Liu
Hao Miao
Yan Zhao
Chenxi Liu
Kai Zheng
Huan Li
18
20
0
06 May 2024
Recovering Labels from Local Updates in Federated Learning
Recovering Labels from Local Updates in Federated Learning
Huancheng Chen
H. Vikalo
FedML
AAML
14
4
0
02 May 2024
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