Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2008.07424
Cited By
Siloed Federated Learning for Multi-Centric Histopathology Datasets
17 August 2020
M. Andreux
Jean Ogier du Terrail
C. Béguier
Eric W. Tramel
FedML
OOD
AI4CE
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Siloed Federated Learning for Multi-Centric Histopathology Datasets"
50 / 57 papers shown
Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning
Hongyao Chen
Tianyang Xu
Xiaojun Wu
Josef Kittler
FedML
358
0
0
28 May 2025
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation
Matthis Manthe
Carole Lartizien
Stefan Duffner
OOD
FedML
165
0
0
04 Oct 2024
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Jonathan Passerat-Palmbach
Jonathan Passerat-Palmbach
284
0
0
02 Oct 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
Ming Li
Pengcheng Xu
Junjie Hu
Zeyu Tang
Guang Yang
FedML
441
69
0
15 Sep 2024
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
Felix Wagner
Wentian Xu
Pramit Saha
Ziyun Liang
Daniel Whitehouse
David Menon
Virginia Newcombe
Natalie Voets
J. A. Noble
Konstantinos Kamnitsas
443
6
0
17 Jun 2024
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather
Giulia Rizzoli
Matteo Caligiuri
Donald Shenaj
F. Barbato
Pietro Zanuttigh
320
6
0
20 Mar 2024
Recent Methodological Advances in Federated Learning for Healthcare
Fan Zhang
Daniel Kreuter
Yichen Chen
Sören Dittmer
Samuel Tull
...
James H. F. Rudd
J. A. Aston
Carola-Bibiane Schönlieb
Nicholas S. Gleadall
Michael Roberts
FedML
OOD
274
25
0
04 Oct 2023
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets
Machine Learning in Health Care (MLHC), 2023
Fatemeh Tavakoli
D. B. Emerson
Sana Ayromlou
John Jewell
Amrit Krishnan
Yuchong Zhang
A. Verma
Fahad Razak
FedML
273
4
0
28 Sep 2023
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous Driving
Eros Fani
Marco Ciccone
Barbara Caputo
FedML
378
5
0
23 Sep 2023
GradientCoin: A Peer-to-Peer Decentralized Large Language Models
Yeqi Gao
Zhao Song
Junze Yin
203
26
0
21 Aug 2023
Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space
Guogang Zhu
Xuefeng Liu
Shaojie Tang
Jianwei Niu
Xinghao Wu
Jiaxing Shen
315
2
0
26 Jul 2023
A Client-server Deep Federated Learning for Cross-domain Surgical Image Segmentation
Ronast Subedi
Rebati Gaire
Sharib Ali
Anh Totti Nguyen
Danail Stoyanov
Binod Bhattarai
OOD
147
5
0
14 Jun 2023
Federated Learning for Medical Image Analysis: A Survey
Pattern Recognition (Pattern Recogn.), 2023
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedML
OOD
643
342
0
09 Jun 2023
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
International Conference on Learning Representations (ICLR), 2023
Weiming Zhuang
Lingjuan Lyu
262
14
0
09 Jun 2023
Federated Domain Generalization: A Survey
Proceedings of the IEEE (Proc. IEEE), 2023
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OOD
FedML
AI4CE
382
58
0
02 Jun 2023
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning
Deepak Ravikumar
Gobinda Saha
Sai Aparna Aketi
Kaushik Roy
276
5
0
09 Apr 2023
Experimenting with Normalization Layers in Federated Learning on non-IID scenarios
IEEE Access (IEEE Access), 2023
Bruno Casella
Roberto Esposito
A. Sciarappa
C. Cavazzoni
Marco Aldinucci
FedML
177
27
0
19 Mar 2023
Making Batch Normalization Great in Federated Deep Learning
Shitian Zhao
Hong-You Chen
Wei-Lun Chao
FedML
645
13
0
12 Mar 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning
Shih-Fang Chang
Benny Wei-Yun Hsu
Tien-Yu Chang
Vincent S. Tseng
174
4
0
27 Feb 2023
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading
Computational and Structural Biotechnology Journal (CSBJ), 2023
Fei Kong
Xiyue Wang
Jin-Peng Xiang
Sen Yang
Xinran Wang
...
Xiao Han
Yuhan Dong
Biyue Zhu
Fang Wang
Yueping Liu
MedIm
450
21
0
13 Feb 2023
Why Batch Normalization Damage Federated Learning on Non-IID Data?
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yanmeng Wang
Qingjiang Shi
Tsung-Hui Chang
FedML
419
55
0
08 Jan 2023
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Neural Information Processing Systems (NeurIPS), 2022
Samiul Alam
Luyang Liu
Ming Yan
Mi Zhang
593
220
0
03 Dec 2022
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review
Journal of Personalized Medicine (J Pers Med), 2022
Heather D. Couture
234
33
0
27 Nov 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
Neural Information Processing Systems (NeurIPS), 2022
Jean Ogier du Terrail
Samy Ayed
Edwige Cyffers
Felix Grimberg
Chaoyang He
...
Sai Praneeth Karimireddy
Marco Lorenzi
Giovanni Neglia
Marc Tommasi
M. Andreux
FedML
374
206
0
10 Oct 2022
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning
Neural Information Processing Systems (NeurIPS), 2022
Tanguy Marchand
Boris Muzellec
C. Béguier
Jean Ogier du Terrail
M. Andreux
FedML
258
12
0
04 Oct 2022
Federated Stain Normalization for Computational Pathology
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Nicolas Wagner
Moritz Fuchs
Yuri Tolkach
Anirban Mukhopadhyay
OOD
FedML
MedIm
286
20
0
29 Sep 2022
Federated Learning of Large Models at the Edge via Principal Sub-Model Training
Yue Niu
Saurav Prakash
Souvik Kundu
Sunwoo Lee
Salman Avestimehr
FedML
324
20
0
28 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
IEEE Internet of Things Journal (IEEE IoT J.), 2022
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
431
206
0
05 Aug 2022
Personalizing Federated Medical Image Segmentation via Local Calibration
European Conference on Computer Vision (ECCV), 2022
Jiacheng Wang
Yueming Jin
Liansheng Wang
FedML
358
51
0
11 Jul 2022
Towards the Practical Utility of Federated Learning in the Medical Domain
ACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
Seongjun Yang
Hyeonji Hwang
Daeyoung Kim
Radhika Dua
Jong-Yeup Kim
Eunho Yang
Edward Choi
FedML
OOD
606
23
0
07 Jul 2022
Towards Federated Long-Tailed Learning
Zihan Chen
Songshan Liu
Hualiang Wang
Howard H. Yang
Tony Q.S. Quek
Zuozhu Liu
FedML
213
14
0
30 Jun 2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Jun Shi
Yuan-Yang Zhang
Zheng Li
Xiangmin Han
Saisai Ding
Jun Wang
Shihui Ying
FedML
OOD
348
24
0
31 May 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation
IEEE International Conference on Computer Vision (ICCV), 2022
Haokun Chen
A. Frikha
Denis Krompass
Jindong Gu
Volker Tresp
OOD
383
44
0
30 May 2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker
Annette Peters
C. Schlett
F. Bamberg
Fabian J. Theis
Daniel Rueckert
J. Weiss
Shadi Albarqouni
FedML
MedIm
300
27
0
23 May 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Yanhang Shi
Siguang Chen
Haijun Zhang
FedML
369
13
0
05 May 2022
Improving Generalization in Federated Learning by Seeking Flat Minima
European Conference on Computer Vision (ECCV), 2022
Debora Caldarola
Barbara Caputo
Marco Ciccone
FedML
430
145
0
22 Mar 2022
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis
Dominik Rivoir
Isabel Funke
Stefanie Speidel
412
25
0
15 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Lidia Fantauzzo
Eros Fani
Debora Caldarola
A. Tavera
Fabio Cermelli
Marco Ciccone
Barbara Caputo
FedML
346
68
0
28 Feb 2022
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Ali Hatamizadeh
Hongxu Yin
Pavlo Molchanov
Andriy Myronenko
Wenqi Li
...
Andrew Feng
Mona G. Flores
Jan Kautz
Daguang Xu
H. Roth
FedML
282
118
0
14 Feb 2022
Federated Learning Challenges and Opportunities: An Outlook
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jie Ding
Eric W. Tramel
Anit Kumar Sahu
Shuang Wu
Salman Avestimehr
Tao Zhang
FedML
310
79
0
01 Feb 2022
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images
AAAI Conference on Artificial Intelligence (AAAI), 2021
Meirui Jiang
Zirui Wang
Qi Dou
FedML
413
186
0
20 Dec 2021
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Yangsibo Huang
Samyak Gupta
Zhao Song
Kai Li
Sanjeev Arora
FedML
AAML
SILM
460
366
0
30 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image classification
G. N. Gunesli
M. Bilal
S. Raza
Nasir M. Rajpoot
FedML
OOD
200
24
0
25 Nov 2021
Decentralized Federated Learning through Proxy Model Sharing
Nature Communications (Nat Commun), 2021
Shivam Kalra
Junfeng Wen
Jesse C. Cresswell
Anthony L. Caterini
Hamid R. Tizhoosh
FedML
355
167
0
22 Nov 2021
Gradient Inversion with Generative Image Prior
Neural Information Processing Systems (NeurIPS), 2021
Jinwoo Jeon
Jaechang Kim
Kangwook Lee
Sewoong Oh
Jungseul Ok
265
194
0
28 Oct 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
319
1
0
19 Oct 2021
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification
Jun Luo
Shandong Wu
OOD
FedML
210
42
0
15 Oct 2021
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Daming Gao
Meilu Zhu
Chen Yang
Yixuan Yuan
OOD
247
45
0
01 Oct 2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Symposium on Medical Information Processing and Analysis (MIPA), 2021
Dimitris Stripelis
Hamza Saleem
Tanmay Ghai
Nikhil J. Dhinagar
Umang Gupta
...
Greg Ver Steeg
Yu Yang
Muhammad Naveed
Paul M. Thompson
J. Ambite
FedML
427
71
0
07 Aug 2021
Memory-aware curriculum federated learning for breast cancer classification
Amelia Jiménez-Sánchez
Mickael Tardy
M. A. G. Ballester
Diana Mateus
Gemma Piella
OOD
294
111
0
06 Jul 2021
1
2
Next
Page 1 of 2
