Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2102.12920
Cited By
v1
v2
v3
v4
v5 (latest)
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
International Journal of Machine Learning and Cybernetics (IJMLC), 2021
25 February 2021
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Github
Papers citing
"Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning"
31 / 31 papers shown
FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
Zhiqin Yang
Yonggang Zhang
Chenxin Li
Yiu-ming Cheung
Bo Han
Yixuan Yuan
FedML
226
3
0
23 Oct 2025
Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights
PeerJ Computer Science (PeerJ CS), 2025
Cosmin Hatfaludi
Alex Serban
FedML
255
3
0
05 Sep 2025
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
Sajid Hussain
Muhammad Sohail
Nauman Ali Khan
Naima Iltaf
Ihtesham ul Islam
AI4TS
329
0
0
24 Jun 2025
Task-Agnostic Federation over Decentralized Data: Research Landscape and Visions
Wentai Wu
Ligang He
Saiqin Long
Ahmed M. Abdelmoniem
Yingliang Wu
Rui Mao
Keqin Li
491
1
0
05 Mar 2025
FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning
Mehdi Ben Ghali
Reda Bellafqira
Reda Bellafqira
AAML
FedML
422
0
0
21 Jan 2025
Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation
Muhammad Irfan Khan
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
277
2
0
31 Dec 2024
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning
Yubo Peng
Feibo Jiang
Li Dong
Kezhi Wang
Kun Yang
FedML
495
0
0
11 Oct 2024
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data
International Conference on Computer and Knowledge Engineering (ICCKE), 2024
Rasoul Jafari Gohari
Laya Aliahmadipour
Ezat Valipour
FedML
211
2
0
09 Sep 2024
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
Mirko Nardi
Lorenzo Valerio
A. Passarella
FedML
482
1
0
20 Aug 2024
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
Yingchao Yu
Yuping Yan
Jisong Cai
Yaochu Jin
FedML
244
1
0
14 Jun 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
256
30
0
22 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
435
2
0
16 May 2024
Enhancing IoT Security Against DDoS Attacks through Federated Learning
Ghazaleh Shirvani
Saeid Ghasemshirazi
Mohammad Ali Alipour
381
7
0
16 Mar 2024
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang
Zhiqin Yang
Xinmei Tian
Nannan Wang
Tongliang Liu
Bo Han
FedML
347
9
0
22 Feb 2024
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Pramit Saha
Divyanshu Mishra
J. A. Noble
FedML
375
13
0
28 Oct 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
504
5
0
05 Jul 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
386
60
0
02 Jun 2023
Federated Learning with Classifier Shift for Class Imbalance
Yunheng Shen
Haoxiang Wang
Hairong Lv
FedML
352
6
0
11 Apr 2023
CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization
IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2023
Nang Hung Nguyen
Duc Long Nguyen
Trong Bang Nguyen
T. Nguyen
H. Pham
Truong Thao Nguyen
Phi Le Nguyen
FedML
354
13
0
21 Feb 2023
Bayesian data fusion with shared priors
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Peng Wu
Tales Imbiriba
Victor Elvira
Pau Closas
FedML
260
16
0
14 Dec 2022
GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques
Hamidreza Mahini
H. Mousavi
Masoud Daneshtalab
FedML
176
0
0
08 Dec 2022
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments
Vivek Khimani
S. Jabbari
FedML
AI4CE
287
1
0
01 Nov 2022
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks
International Conference on Parallel Processing (ICPP), 2022
Jaehee Jang
Heonseok Ha
Dahuin Jung
Sungroh Yoon
FedML
206
70
0
25 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions
IEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
424
73
0
24 Oct 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
434
206
0
05 Aug 2022
Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hasan Kassem
Deepak Alapatt
Pietro Mascagni
AI4SafeChole Consortium
Alexandros Karargyris
N. Padoy
FedML
304
61
0
14 Mar 2022
Gradual Federated Learning with Simulated Annealing
IEEE Transactions on Signal Processing (IEEE TSP), 2021
L. Nguyen
Junhan Kim
B. Shim
FedML
203
16
0
11 Oct 2021
Personalized Federated Learning over non-IID Data for Indoor Localization
International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021
Peng Wu
Tales Imbiriba
Junha Park
Sunwoo Kim
Pau Closas
FedML
222
30
0
09 Jul 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification
International Conference on Learning Representations (ICLR), 2021
Jaehoon Oh
Sangmook Kim
Se-Young Yun
FedML
462
328
0
04 Jun 2021
Federated Unsupervised Representation Learning
Frontiers of Information Technology & Electronic Engineering (FITEE), 2020
Tai-wei Chang
Kun Kuang
Zhaoyang You
Tao Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
343
166
0
18 Oct 2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
Sai Praneeth Karimireddy
Martin Jaggi
Satyen Kale
M. Mohri
Sashank J. Reddi
Sebastian U. Stich
A. Suresh
FedML
738
245
0
08 Aug 2020
1
Page 1 of 1
