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Federated Visual Classification with Real-World Data Distribution
v1v2v3 (latest)

Federated Visual Classification with Real-World Data Distribution

European Conference on Computer Vision (ECCV), 2020
18 March 2020
T. Hsu
Qi
Matthew Brown
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Visual Classification with Real-World Data Distribution"

50 / 121 papers shown
On the Limits of Momentum in Decentralized and Federated Optimization
On the Limits of Momentum in Decentralized and Federated Optimization
Riccardo Zaccone
Sai Praneeth Karimireddy
Carlo Masone
FedML
430
0
0
25 Nov 2025
Multi-Granularity Mutual Refinement Network for Zero-Shot Learning
Multi-Granularity Mutual Refinement Network for Zero-Shot Learning
Ning Wang
Long Yu
Cong Hua
Guangming Zhu
Lin Mei
Syed Afaq Ali Shah
Mohammed Bennamoun
Liang Zhang
165
1
0
11 Nov 2025
Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers
Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers
M Yashwanth
Sharannya Ghosh
Aditay Tripathi
Anirban Chakraborty
VPVLMVLM
555
0
0
29 Oct 2025
Generalizable Federated Learning using Client Adaptive Focal Modulation
Generalizable Federated Learning using Client Adaptive Focal Modulation
Tajamul Ashraf
Iqra Altaf Gillani
FedML
157
0
0
14 Aug 2025
AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning
AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning
Chaoyi Lu
Yiding Sun
Jinqian Chen
Zhichuan Yang
Jiangming Pan
Jihua Zhu
245
1
0
15 Jun 2025
Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning
Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated LearningInternational Conference on Information Photonics (ICIP), 2025
Luiz Manella Pereira
M. Amini
FedML
256
0
0
04 Jun 2025
Distributionally Robust Federated Learning with Client Drift Minimization
Distributionally Robust Federated Learning with Client Drift Minimization
Mounssif Krouka
Chaouki Ben Issaid
Mehdi Bennis
OODFedML
234
0
0
21 May 2025
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving
Wei-Bin Kou
Guangxu Zhu
Bingyang Cheng
Shuai Wang
Ming Tang
Yik-Chung Wu
374
5
0
01 May 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Chaoyue Niu
Yucheng Ding
Junhui Lu
Zhengxiang Huang
Hang Zeng
Yutong Dai
Xuezhen Tu
Chengfei Lv
Fan Wu
Guihai Chen
367
2
0
17 Apr 2025
Efficient Mixture of Geographical Species for On Device Wildlife Monitoring
Efficient Mixture of Geographical Species for On Device Wildlife Monitoring
Emmanuel Azuh Mensah
Joban Mand
Yueheng Ou
Min Jang
Kurtis Heimerl
317
0
0
11 Apr 2025
Federated Learning in Mobile Networks: A Comprehensive Case Study on
  Traffic Forecasting
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic ForecastingIEEE Transactions on Sustainable Computing (TSC), 2024
Nikolaos Pavlidis
V. Perifanis
Selim F. Yilmaz
F. Wilhelmi
M. Miozzo
P. Efraimidis
R. Koutsiamanis
Pavol Mulinka
Paolo Dini
255
7
0
05 Dec 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics,
  Methods, Frameworks and Future Directions
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
477
0
0
19 Nov 2024
Client Contribution Normalization for Enhanced Federated Learning
Client Contribution Normalization for Enhanced Federated LearningIEEE India Conference (INDICON), 2024
Mayank Kumar Kundalwal
Anurag Saraswat
Ishan Mishra
Deepak Mishra
FedML
243
0
0
10 Nov 2024
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained
  Aggregation
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained AggregationInternational Conference on Mobile Ad-hoc and Sensor Networks (ICMASN), 2024
Ziwei Zhan
Wenkuan Zhao
Yuanqing Li
Weijie Liu
Xiaoxi Zhang
Chee Wei Tan
Chuan Wu
Deke Guo
Xu Chen
MoE
429
9
0
04 Nov 2024
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving
  Federated Learning in Wireless Healthcare Networks
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks
Sushilkumar Yadav
Irem Bor-Yaliniz
189
0
0
01 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation
Personalized Federated Learning via Feature Distribution AdaptationNeural Information Processing Systems (NeurIPS), 2024
Connor Mclaughlin
Lili Su
FedMLOOD
437
26
0
01 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with
  Progressive Model Fusion
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model FusionNeural Information Processing Systems (NeurIPS), 2024
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Yiu-ming Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedMLMoMeAI4CE
351
18
0
27 Oct 2024
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical
  Federated Learning in Autonomous Driving
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
Wei-Bin Kou
Qingfeng Lin
Ming Tang
Rongguang Ye
Shuai Wang
Guangxu Zhu
Yik-Chung Wu
336
21
0
29 Sep 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification
  with Personalization
Addressing Skewed Heterogeneity via Federated Prototype Rectification with PersonalizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Shunxin Guo
Hongsong Wang
Shuxia Lin
Zhiqiang Kou
Xin Geng
FedML
391
7
0
15 Aug 2024
Fair Federated Data Clustering through Personalization: Bridging the Gap
  between Diverse Data Distributions
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions
Shivam Gupta
Tarushi
Tsering Wangzes
Shweta Jain
FedML
312
1
0
05 Jul 2024
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in
  Street Scene Semantic Understanding
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding
Wei-Bin Kou
Qingfeng Lin
Ming Tang
Shuai Wang
Guangxu Zhu
Yik-Chung Wu
293
11
0
01 Jul 2024
Accelerating Heterogeneous Federated Learning with Closed-form
  Classifiers
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
Eros Fani
Raffaello Camoriano
Barbara Caputo
Marco Ciccone
314
9
0
03 Jun 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
Wei-Bin Kou
Qingfeng Lin
Ming Tang
Sheng Xu
Rongguang Ye
...
Shuai Wang
Guofa Li
Zhenyu Chen
Guangxu Zhu
Yik-Chung Wu
FedML
470
20
0
07 May 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank,
  Task-Specific Adapter Clustering
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
Siqi Ping
Yuzhu Mao
Yang Liu
Xiao-Ping Zhang
Wenbo Ding
FedML
298
6
0
23 Apr 2024
Collaborative Visual Place Recognition through Federated Learning
Collaborative Visual Place Recognition through Federated Learning
Mattia Dutto
Gabriele Berton
Debora Caldarola
Eros Fani
Gabriele Trivigno
Carlo Masone
FedML
284
2
0
20 Apr 2024
MAP: Model Aggregation and Personalization in Federated Learning with
  Incomplete Classes
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes
Xin-Chun Li
Shaoming Song
Yinchuan Li
Bingshuai Li
Yunfeng Shao
Yang Yang
De-Chuan Zhan
FedML
243
16
0
14 Apr 2024
pfl-research: simulation framework for accelerating research in Private
  Federated Learning
pfl-research: simulation framework for accelerating research in Private Federated LearningNeural Information Processing Systems (NeurIPS), 2024
Filip Granqvist
Congzheng Song
Áine Cahill
Rogier van Dalen
Martin Pelikan
Yi Sheng Chan
Xiaojun Feng
Natarajan Krishnaswami
Vojta Jina
Mona Chitnis
FedML
264
13
0
09 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of
  Parameters for Fine-Tuning
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-TuningComputer Vision and Pattern Recognition (CVPR), 2024
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
276
42
0
03 Apr 2024
Federated Modality-specific Encoders and Multimodal Anchors for
  Personalized Brain Tumor Segmentation
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2024
Qian Dai
Dong Wei
Hong Liu
Jinghan Sun
Liansheng Wang
Yefeng Zheng
241
13
0
18 Mar 2024
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
509
30
0
05 Mar 2024
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing
  Non-i.i.d. and Constraints in Federated Learning
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
Yousef Alsenani
Rahul Mishra
Khaled R. Ahmed
Atta Ur Rahman
FedML
304
2
0
14 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated LearningInternational Conference on Learning Representations (ICLR), 2024
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
331
23
0
10 Feb 2024
Relaxed Contrastive Learning for Federated Learning
Relaxed Contrastive Learning for Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024
Seonguk Seo
Jinkyu Kim
Geeho Kim
Bohyung Han
FedML
487
45
0
10 Jan 2024
Federated Learning via Input-Output Collaborative Distillation
Federated Learning via Input-Output Collaborative Distillation
Xuan Gong
Shanglin Li
Yuxiang Bao
Barry Yao
Yawen Huang
Ziyan Wu
Baochang Zhang
Yefeng Zheng
David Doermann
FedML
203
15
0
22 Dec 2023
AEDFL: Efficient Asynchronous Decentralized Federated Learning with
  Heterogeneous Devices
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices
Ji Liu
Tianshi Che
Yang Zhou
Ruoming Jin
H. Dai
Dejing Dou
P. Valduriez
288
22
0
18 Dec 2023
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Riccardo Zaccone
Sai Praneeth Karimireddy
Carlo Masone
Marco Ciccone
FedML
524
3
0
30 Nov 2023
Handling Data Heterogeneity via Architectural Design for Federated
  Visual Recognition
Handling Data Heterogeneity via Architectural Design for Federated Visual RecognitionNeural Information Processing Systems (NeurIPS), 2023
Sara Pieri
Jose Renato Restom
Samuel Horvath
Hisham Cholakkal
FedML
201
9
0
23 Oct 2023
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient
  Balancer
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient BalancerNeural Information Processing Systems (NeurIPS), 2023
Zikai Xiao
Zihan Chen
Songshan Liu
Hualiang Wang
Yang Feng
Jinxiang Hao
Qiufeng Wang
Jian Wu
Howard H. Yang
Zuo-Qiang Liu
FedML
517
25
0
11 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated
  Learning
FedFed: Feature Distillation against Data Heterogeneity in Federated LearningNeural Information Processing Systems (NeurIPS), 2023
Zhiqin Yang
Yonggang Zhang
Yuxiang Zheng
Xinmei Tian
Hao Peng
Tongliang Liu
Bo Han
FedML
221
132
0
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FedConv: Enhancing Convolutional Neural Networks for Handling Data
  Heterogeneity in Federated Learning
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning
Peiran Xu
Zeyu Wang
Jieru Mei
Liangqiong Qu
Yaoyao Liu
Cihang Xie
Yuyin Zhou
FedML
193
4
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06 Oct 2023
Window-based Model Averaging Improves Generalization in Heterogeneous
  Federated Learning
Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning
Debora Caldarola
Barbara Caputo
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FedML
289
8
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Deep Model Fusion: A Survey
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Weishi Li
Yong Peng
Miao Zhang
Liang Ding
Han Hu
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FedMLMoMe
345
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FedDrive v2: an Analysis of the Impact of Label Skewness in Federated
  Semantic Segmentation for Autonomous Driving
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving
Eros Fani
Marco Ciccone
Barbara Caputo
FedML
350
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Learning From Drift: Federated Learning on Non-IID Data via Drift
  Regularization
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Yeachan Kim
Bonggun Shin
FedML
230
3
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Federated Learning Over Images: Vertical Decompositions and Pre-Trained
  Backbones Are Difficult to Beat
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Erdong Hu
Yu-Shuen Tang
Anastasios Kyrillidis
C. Jermaine
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316
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REFT: Resource-Efficient Federated Training Framework for Heterogeneous
  and Resource-Constrained Environments
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Humaid Ahmed Desai
Amr B. Hilal
Hoda Eldardiry
186
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GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated LearningIEEE International Conference on Computer Vision (ICCV), 2023
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
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469
69
0
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Personalized Federated Learning with Feature Alignment and Classifier
  Collaboration
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Jian Xu
Xin-Yi Tong
Shao-Lun Huang
FedML
258
168
0
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Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning
M.Yashwanth
Gaurav Kumar Nayak
Aryaveer Singh
Yogesh Singh
Anirban Chakraborty
FedML
662
3
0
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Partially Personalized Federated Learning: Breaking the Curse of Data
  Heterogeneity
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
Konstantin Mishchenko
Rustem Islamov
Eduard A. Gorbunov
Samuel Horváth
FedML
301
13
0
29 May 2023
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