Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1810.04304
Cited By
v1
v2 (latest)
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
10 October 2018
Micah J. Sheller
G. A. Reina
Brandon Edwards
Jason Martin
Spyridon Bakas
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation"
50 / 156 papers shown
Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
Md Ahasanul Arafath
Abhijit Kumar Ghosh
Md Rony Ahmed
Sabrin Afroz
Minhazul Hosen
Md Hasan Moon
Md Tanzim Reza
Md Zarif Ul Alam
FedML
204
0
0
05 Nov 2025
DFCA: Decentralized Federated Clustering Algorithm
Jonas Kirch
Sebastian Becker
Tiago Koketsu Rodrigues
Stefan Harmeling
FedML
136
0
0
17 Oct 2025
Multitask Learning with Learned Task Relationships
Zirui Wan
Stefan Vlaski
97
0
0
12 Oct 2025
Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based Computed Tomography Scan Analysis
Avais Jan
Qasim Zia
Murray Patterson
84
0
0
09 Sep 2025
On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
Zijian Wang
Wei Tong
Tingxuan Han
Haoyu Chen
Tianling Zhang
Yunlong Mao
Sheng Zhong
AAML
96
0
0
05 Sep 2025
OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting
Mohammad Karami
Fatemeh Ghassemi
Hamed Kebriaei
Hamid Azadegan
AAML
110
1
0
31 Jul 2025
FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning
Xinhai Yan
Libing Wu
Zhuangzhuang Zhang
Bingyi Liu
Lijuan Huo
Jing Wang
FedML
159
0
0
26 Jul 2025
TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data
Yuping Yan
Yizhi Wang
Yuanshuai Li
Yaochu Jin
FedML
179
0
0
20 Jun 2025
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck
Ciro Benito Raggio
P. Zaffino
M. Spadea
MedIm
171
0
0
10 Jun 2025
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
296
2
0
29 Apr 2025
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
M. Y. Jabarulla
T. Uden
Thomas Jack
P. Beerbaum
S. Oeltze-jafra
302
2
0
15 Nov 2024
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients
Yan Li
Xiao Zhang
Mingyi Li
Guangwei Xu
Feng Chen
Yuan Yuan
Yifei Zou
Mengying Zhao
Jianbo Lu
Dongxiao Yu
213
2
0
11 Oct 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
Computer Vision and Pattern Recognition (CVPR), 2024
Ye Li
Yanchao Zhao
Chengcheng Zhu
Jiale Zhang
AAML
358
2
0
29 Sep 2024
A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications
R. Hussain
Mohsen Amini Salehi
FedML
171
0
0
24 Sep 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
390
32
0
15 Sep 2024
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
Muxing Wang
Pengkun Yang
Lili Su
FedML
364
2
0
05 Sep 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAML
FedML
301
1
0
21 Jul 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging
Kiarash Sedghighadikolaei
Attila A Yavuz
268
6
0
29 Jun 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
International Conference on Machine Learning (ICML), 2024
Chun-Yin Huang
Kartik Srinivas
Xin Zhang
Xiaoxiao Li
DD
369
17
0
19 May 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning
Haoyue Song
Jiacheng Wang
Liansheng Wang
181
1
0
17 May 2024
On the Conflict of Robustness and Learning in Collaborative Machine Learning
Mathilde Raynal
Carmela Troncoso
171
2
0
21 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
352
2
0
19 Feb 2024
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
Kasra Borazjani
Naji Khosravan
Leslie Ying
Seyyedali Hosseinalipour
223
13
0
07 Jan 2024
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2023
Jorge Castillo
Phillip Rieger
Hossein Fereidooni
Qian Chen
Ahmad Sadeghi
FedML
AAML
150
10
0
03 Oct 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration
Yixing Huang
Christoph Bert
Rostislav Makarov
Alexander Alenin
Andreas Maier
F. Putz
FedML
CLL
297
4
0
29 Sep 2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
Mengwei He
Dongang Wang
Michael Barnett
Mariano Cabezas
Weidong (Tom) Cai
...
Ryan Sullivan
Hengrui Wang
Geng Zhan
Wanli Ouyang
Chenyu Wang
134
14
0
31 Aug 2023
Federated Learning for Computer Vision
Yassine Himeur
Iraklis Varlamis
Hamza Kheddar
Abbes Amira
Shadi Atalla
Yashbir Singh
F. Bensaali
Shadi Atalla
FedML
212
44
0
24 Aug 2023
SoK: Assessing the State of Applied Federated Machine Learning
Tobias Müller
Maximilian Stäbler
Hugo Gascón
Frank Köster
Florian Matthes
151
0
0
03 Aug 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
IEEE International Conference on Computer Vision (ICCV), 2023
Weiming Zhuang
Yonggang Wen
Lingjuan Lyu
Shuai Zhang
FedML
187
22
0
21 Jul 2023
Transformers in Healthcare: A Survey
Subhash Nerella
S. Bandyopadhyay
Jiaqing Zhang
Miguel Contreras
Scott Siegel
...
Jessica Sena
B. Shickel
A. Bihorac
Kia Khezeli
Parisa Rashidi
MedIm
AI4CE
253
79
0
30 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
Chong Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
673
122
0
27 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
496
265
0
09 Jun 2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Joshua Gardner
Renzhe Yu
Quan Nguyen
Christopher A. Brooks
René F. Kizilcec
FedML
193
20
0
01 May 2023
Client Recruitment for Federated Learning in ICU Length of Stay Prediction
IEEE International Conference on e-Science (e-Science), 2023
Vincent Scheltjens
Lyse Naomi Wamba Momo
Wouter Verbeke
B. De Moor
OOD
FedML
111
2
0
28 Apr 2023
Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
Liangqi Yuan
Yunsheng Ma
Lu Su
Ziran Wang
FedML
273
34
0
14 Apr 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
Computer Vision and Pattern Recognition (CVPR), 2023
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
372
25
0
16 Mar 2023
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
F. Santini
Jakob Wasserthal
Abramo Agosti
X. Deligianni
K. Keene
...
C. Weidensteiner
G. Manco
Matteo Paoletti
Valentina Mazzoli
Arjun D Desai
FedML
MedIm
459
11
0
13 Feb 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Kavita Kumari
Phillip Rieger
Hossein Fereidooni
Murtuza Jadliwala
A. Sadeghi
AAML
FedML
226
43
0
23 Jan 2023
Federated Learning -- Methods, Applications and beyond
The European Symposium on Artificial Neural Networks (ESANN), 2022
Moritz Heusinger
Christoph Raab
Fabrice Rossi
Frank-Michael Schleif
FedML
OOD
113
5
0
22 Dec 2022
Membership Inference Attacks Against Semantic Segmentation Models
Tomás Chobola
Dmitrii Usynin
Georgios Kaissis
MIACV
181
11
0
02 Dec 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World
IEEE Data Engineering Bulletin (DEB), 2022
H. Roth
Yan Cheng
Yuhong Wen
Isaac Yang
Ziyue Xu
...
Daguang Xu
Nic Ma
Prerna Dogra
Mona G. Flores
Andrew Feng
FedML
AI4CE
286
139
0
24 Oct 2022
Review learning: Real world validation of privacy preserving continual learning across medical institutions
Jaesung Yoo
Sung-Hyuk Choi
Yewon Yang
Suhyeon Kim
J. Choi
...
H. J. Joo
Dae-Jung Kim
R. Park
Hyeong-Jin Yoon
Kwangsoo Kim
OffRL
KELM
206
0
0
17 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
240
35
0
16 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning
Network and Distributed System Security Symposium (NDSS), 2022
Phillip Rieger
T. Krauß
Markus Miettinen
Alexandra Dmitrienko
Ahmad-Reza Sadeghi Technical University Darmstadt
AAML
FedML
247
37
0
14 Oct 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
325
194
0
10 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective
Zhifang Deng
Xiaohong Huang
Dandan Li
Xueguang Yuan
FedML
161
0
0
06 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Donald Shenaj
Eros Fani
Marco Toldo
Debora Caldarola
A. Tavera
Umberto Michieli
Marco Ciccone
Pietro Zanuttigh
Barbara Caputo
FedML
209
45
0
05 Oct 2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
L. Pilla
142
18
0
13 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Xuan Gong
Abhishek Sharma
Srikrishna Karanam
Ziyan Wu
Terrence Chen
David Doermann
Arun Innanje
FedML
171
95
0
10 Sep 2022
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals
International Workshop on Algorithmic Aspects of Cloud Computing (AACC), 2022
Daniel Gutiérrez
Hafiz Muuhammad Hassan
Lorella Landi
A. Vitaletti
I. Chatzigiannakis
FedML
236
27
0
23 Aug 2022
1
2
3
4
Next
