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1902.04885
Cited By
Federated Machine Learning: Concept and Applications
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019
13 February 2019
Qiang Yang
Yang Liu
Tianjian Chen
Yongxin Tong
FedML
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Papers citing
"Federated Machine Learning: Concept and Applications"
50 / 567 papers shown
BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity
Alejandro Guerra-Manzanares
Omar El-Herraoui
Michail Maniatakos
Farah E. Shamout
191
0
0
15 Oct 2025
Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise
Utsab Saha
Tanvir Muntakim Tonoy
Hafiz Imtiaz
146
0
0
12 Sep 2025
VFLAIR-LLM: A Comprehensive Framework and Benchmark for Split Learning of LLMs
Zixuan Gu
Qiufeng Fan
Long Sun
Yang Liu
Xiaojun Ye
170
3
0
05 Aug 2025
Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
Hangyu Li
Hongyue Wu
Guodong Fan
Zhen Zhang
Shizhan Chen
Zhiyong Feng
FedML
346
0
0
25 Jun 2025
AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning
Chaoyi Lu
Yiding Sun
Jinqian Chen
Zhichuan Yang
Jiangming Pan
Jihua Zhu
272
2
0
15 Jun 2025
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption
Abdullah Al Omar
Xin Yang
Euijin Choo
Omid Ardakanian
219
0
0
20 May 2025
Federated Deep Reinforcement Learning for Privacy-Preserving Robotic-Assisted Surgery
Sana Hafeez
Sundas Rafat Mulkana
Muhammad Ali Imran
Michele Sevegnani
381
0
0
17 May 2025
A Federated Random Forest Solution for Secure Distributed Machine Learning
Alexandre Cotorobai
Jorge Miguel Silva
Jose Luis Oliveira
OOD
FedML
377
4
0
12 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
508
1
0
05 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning
Md. Tanzib Hosain
Asif Zaman
Md. Shahriar Sajid
Shadman Sakeeb Khan
Shanjida Akter
309
13
0
03 May 2025
Efficient Data Valuation Approximation in Federated Learning: A Sampling-based Approach
IEEE International Conference on Data Engineering (ICDE), 2025
Shuyue Wei
Yongxin Tong
Zimu Zhou
Tianran He
Yi Xu
FedML
304
1
0
23 Apr 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution
IEEE International Conference on Distributed Computing Systems (ICDCS), 2025
Lina Wang
Yunsheng Yuan
Chunxiao Wang
Feng Li
FedML
477
1
0
31 Mar 2025
VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning
Zilong Zhao
Han Wu
Aad van Moorsel
L. Chen
FedML
437
5
0
17 Feb 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
F. Stricker
J. A. Peregrina
D. Bermbach
C. Zirpins
FedML
369
4
0
31 Jan 2025
MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration
Computers in Biology and Medicine (Comput. Biol. Med.), 2025
Héctor Cadavid
Hyunho Mo
Bauke Arends
Katarzyna Dziopa
Esther E. Bron
D. Bos
Sonja Georgievska
P. Harst
241
0
0
21 Jan 2025
Membership Inference Attacks and Defenses in Federated Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2024
Li Bai
Haibo Hu
Qingqing Ye
Haoyang Li
Leixia Wang
Jianliang Xu
FedML
317
91
0
09 Dec 2024
FedAH: Aggregated Head for Personalized Federated Learning
Pengzhan Zhou
Yuepeng He
Yijun Zhai
Kaixin Gao
Chao Chen
Zhida Qin
Chong Zhang
Songtao Guo
FedML
343
2
0
02 Dec 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
BigData Congress [Services Society] (BSS), 2024
Yuchen He
Xiangfeng Wang
CLL
FedML
329
2
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
BigData Congress [Services Society] (BSS), 2024
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
490
7
0
04 Nov 2024
Co-clustering for Federated Recommender System
The Web Conference (WWW), 2024
Xinrui He
Shuo Liu
J. Keung
Jingrui He
FedML
283
40
0
03 Nov 2024
Analysis of regularized federated learning
Langming Liu
Dingxuan Zhou
FedML
177
4
0
03 Nov 2024
Efficient and Robust Regularized Federated Recommendation
International Conference on Information and Knowledge Management (CIKM), 2024
Langming Liu
Wanyu Wang
Xiangyu Zhao
Zijian Zhang
Chunxu Zhang
...
Lixin Zou
Zitao Liu
Xuetao Wei
Hongzhi Yin
Qing Li
FedML
355
11
0
03 Nov 2024
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks
Sushilkumar Yadav
Irem Bor-Yaliniz
191
0
0
01 Nov 2024
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
Keting Yin
Jiayi Mao
341
3
0
19 Oct 2024
Federated Learning in Practice: Reflections and Projections
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Katharine Daly
Hubert Eichner
Peter Kairouz
H. B. McMahan
Daniel Ramage
Zheng Xu
FedML
409
36
0
11 Oct 2024
De-VertiFL: A Solution for Decentralized Vertical Federated Learning
IEEE/IFIP Network Operations and Management Symposium (NOMS), 2024
Alberto Huertas Celdrán
Chao Feng
Sabyasachi Banik
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
FedML
288
0
0
08 Oct 2024
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Ravi K. Madduri
Zilinghan Li
Tarak Nandi
Kibaek Kim
Minseok Ryu
Alex Rodriguez
218
4
0
29 Sep 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models
Applied Informatics (AI), 2024
G. Feretzakis
V. Verykios
281
50
0
26 Sep 2024
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
Vinit Hegiste
T. Legler
Martin Ruskowski
374
3
0
19 Aug 2024
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedML
AI4CE
380
10
0
12 Jul 2024
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation
Sajani Vithana
V. Cadambe
Flavio du Pin Calmon
Haewon Jeong
FedML
473
7
0
03 Jul 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions
Laiqiao Qin
Tianqing Zhu
Wanlei Zhou
Philip S. Yu
281
24
0
16 Jun 2024
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
Knowledge Discovery and Data Mining (KDD), 2024
Zhuoning Guo
Duanyi Yao
Qiang Yang
Hao Liu
FedML
305
12
0
15 Jun 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis
Amine Bechar
Y. Elmir
Yassine Himeur
Rafik Medjoudj
Abbes Amira
MedIm
294
30
0
30 May 2024
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
LRM
BDL
350
9
0
28 May 2024
Machine learning in business process management: A systematic literature review
Sven Weinzierl
Sandra Zilker
Sebastian Dunzer
Martin Matzner
274
37
0
26 May 2024
Bridging Data Barriers among Participants: Assessing the Potential of Geoenergy through Federated Learning
Weike Peng
Jiaxin Gao
Yuntian Chen
Shengwei Wang
FedML
189
8
0
29 Apr 2024
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
Usevalad Milasheuski
Bernardo Camajori Tedeschini
M. Nicoli
S. Savazzi
OOD
301
15
0
29 Apr 2024
New Solutions Based on the Generalized Eigenvalue Problem for the Data Collaboration Analysis
Yuta Kawakami
Yuichi Takano
Akira Imakura
264
2
0
22 Apr 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne
Kaiwen Zhang
Talhi Chamseddine
FedML
277
3
0
20 Apr 2024
Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
Ahmad R. Eslaminia
Yuquan Meng
Klara Nahrstedt
Chenhui Shao
AI4CE
212
9
0
20 Apr 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
Marco Arazzi
S. Nicolazzo
Antonino Nocera
FedML
AAML
302
11
0
18 Apr 2024
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency
Yubin Zheng
Peng Tang
Tianjie Ju
Weidong Qiu
Bo Yan
FedML
208
9
0
19 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges
International Symposium on Telecommunications (IST), 2024
Ghazaleh Shirvani
Saeid Ghasemshirazi
Behzad Beigzadeh
FedML
383
8
0
10 Mar 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
361
60
0
03 Mar 2024
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission
Zeling Zhang
Dongqi Cai
Yiran Zhang
Mengwei Xu
Shangguang Wang
Ao Zhou
223
14
0
01 Mar 2024
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning
Yue Cui
Liuyi Yao
Zitao Li
Yaliang Li
Bolin Ding
Xiaofang Zhou
FedML
268
0
0
23 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach
Chengyi Ju
Jiannong Cao
Yu Yang
Zhen-Qun Yang
Ho Man Lee
233
5
0
19 Feb 2024
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
Jose L. Salmeron
Irina Arévalo
A. Ruiz-Celma
OOD
FedML
368
20
0
15 Feb 2024
Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes
IEEE Conference on Computer Communications (INFOCOM), 2024
Xiaoxin Su
Yipeng Zhou
Laizhong Cui
John C. S. Lui
Jiangchuan Liu
FedML
273
3
0
06 Feb 2024
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