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Advances and Open Problems in Federated Learning
v1v2v3 (latest)

Advances and Open Problems in Federated Learning

10 December 2019
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
A. Bhagoji
Keith Bonawitz
Zachary B. Charles
Graham Cormode
Rachel Cummings
Rafael G. L. DÓliveira
Hubert Eichner
S. E. Rouayheb
David Evans
Josh Gardner
Zachary Garrett
Adria Gascon
Badih Ghazi
Phillip B. Gibbons
Marco Gruteser
Zaïd Harchaoui
Chaoyang He
Lie He
Zhouyuan Huo
Ben Hutchinson
Justin Hsu
Martin Jaggi
T. Javidi
Gauri Joshi
M. Khodak
Jakub Konecný
Aleksandra Korolova
F. Koushanfar
Oluwasanmi Koyejo
Tancrède Lepoint
Yang Liu
Prateek Mittal
M. Mohri
Richard Nock
A. Özgür
Rasmus Pagh
Mariana Raykova
Hang Qi
Daniel Ramage
Ramesh Raskar
Basel Alomair
Weikang Song
Sebastian U. Stich
Ziteng Sun
A. Suresh
Florian Tramèr
Praneeth Vepakomma
Jianyu Wang
Li Xiong
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
    FedMLAI4CE
ArXiv (abs)PDFHTML

Papers citing "Advances and Open Problems in Federated Learning"

50 / 2,962 papers shown
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing
PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing
Zhichao You
Xuewen Dong
Ke Cheng
Xutong Mu
Jiaxuan Fu
Shiyang Ma
Qiang Qu
Yulong Shen
FedML
255
1
0
05 Mar 2025
Adopt a PET! An Exploration of PETs, Policy, and Practicalities for Industry in Canada
Adopt a PET! An Exploration of PETs, Policy, and Practicalities for Industry in Canada
Masoumeh Shafieinejad
Xi He
Bailey Kacsmar
OnRL
323
2
0
04 Mar 2025
Federated Learning for Privacy-Preserving Feedforward Control in Multi-Agent Systems
Jakob Weber
Markus Gurtner
Benedikt Alt
Adrian Trachte
Andreas Kugi
411
0
0
04 Mar 2025
AugFL: Augmenting Federated Learning with Pretrained Models
Sheng Yue
Zerui Qin
Yongheng Deng
Ju Ren
Yaoxue Zhang
Junshan Zhang
FedML
377
4
0
04 Mar 2025
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
Andy Dong
Wei-Ning Chen
Ayfer Özgür
FedML
378
1
0
04 Mar 2025
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent EnterprisesIEEE Internet of Things Journal (IEEE IoT J.), 2024
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
288
20
0
03 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective
Masoud Kavian
Romain Chor
Milad Sefidgaran
Abdellatif Zaidi
FedML
401
2
0
03 Mar 2025
Federated Conversational Recommender System
Allen Lin
Jianling Wang
Ziwei Zhu
James Caverlee
FedML
182
0
0
02 Mar 2025
FLStore: Efficient Federated Learning Storage for non-training workloads
Ahmad Faraz Khan
Samuel Fountain
Ahmed M. Abdelmoniem
A. R. Butt
A. Anwar
FedML
321
0
0
01 Mar 2025
Split Adaptation for Pre-trained Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2025
Lixu Wang
Bingqi Shang
Yuchen Ren
Payal Mohapatra
Wei Dong
Xiao-Xu Wang
Qi Zhu
ViT
375
2
0
01 Mar 2025
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
Pei-Yau Weng
Minh Hoang
Lam M. Nguyen
My T. Thai
Tsui-Wei Weng
T. Hoang
FedML
371
13
0
27 Feb 2025
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework
S M Sarwar
AI4MH
248
6
0
27 Feb 2025
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions
Revisit the Stability of Vanilla Federated Learning Under Diverse ConditionsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Youngjoon Lee
J. Gong
Sun Choi
Joonhyuk Kang
FedML
473
7
0
27 Feb 2025
Efficient Federated Search for Retrieval-Augmented Generation
Efficient Federated Search for Retrieval-Augmented Generation
R. Guerraoui
Anne-Marie Kermarrec
Diana Petrescu
Rafael Pires
Mathis Randl
M. Vos
RALM
284
8
0
26 Feb 2025
Evaluating Membership Inference Attacks in heterogeneous-data setups
Evaluating Membership Inference Attacks in heterogeneous-data setups
Bram van Dartel
Marc Damie
Florian Hahn
MIACVMIALM
1.2K
1
0
26 Feb 2025
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction
Robert Marlin
Raja Jurdak
Alsharif Abuadbba
261
0
0
25 Feb 2025
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
Ehsan Hallaji
R. Razavi-Far
R. Razavi-Far
189
0
0
23 Feb 2025
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes
Fucheng Guo
Zeyu Luan
Qing Li
Dan Zhao
Yong Jiang
FedML
319
0
0
22 Feb 2025
Blockchain-based Framework for Scalable and Incentivized Federated Learning
Blockchain-based Framework for Scalable and Incentivized Federated LearningThe Web Conference (WWW), 2025
Bijun Wu
Oshani Seneviratne
FedML
277
4
0
21 Feb 2025
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
Learning from End User Data with Shuffled Differential Privacy over Kernel DensitiesInternational Conference on Learning Representations (ICLR), 2025
Tal Wagner
FedML
327
0
0
21 Feb 2025
VFL-RPS: Relevant Participant Selection in Vertical Federated Learning
VFL-RPS: Relevant Participant Selection in Vertical Federated Learning
Afsana Khan
M. T. Thij
Guangzhi Tang
A. Wilbik
FedML
163
1
0
21 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
Raghav Singhal
Kaustubh Ponkshe
Rohit Vartak
Lav R. Varshney
Praneeth Vepakomma
FedML
279
7
0
21 Feb 2025
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need
Jon Irureta
Jon Imaz
Aizea Lojo
Javier Fernandez-Marques
Marco González
Iñigo Perona
FedML
335
2
0
20 Feb 2025
CyberSentinel: An Emergent Threat Detection System for AI Security
CyberSentinel: An Emergent Threat Detection System for AI Security
Krti Tallam
173
5
0
20 Feb 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Scalable Decentralized Algorithms for Online Personalized Mean EstimationAAAI Conference on Artificial Intelligence (AAAI), 2024
Franco Galante
Giovanni Neglia
Emilio Leonardi
FedML
369
2
0
20 Feb 2025
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction ComplexityInternational Conference on e-Health Networking, Applications and Services (HealthCom), 2024
Kexin Fan
Alexander Capstick
R. Nilforooshan
Payam Barnaghi
147
1
0
18 Feb 2025
Federated Variational Inference for Bayesian Mixture Models
Federated Variational Inference for Bayesian Mixture Models
Jackie Rao
Francesca L. Crowe
Tom Marshall
S. Richardson
Paul D. W. Kirk
FedML
379
0
0
18 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent EnterprisesApplied Soft Computing (Appl. Soft Comput.), 2024
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
389
23
0
18 Feb 2025
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
T.Q.D. Pham
K.D. Tran
Khanh T. P. Nguyen
X.V. Tran
K.P. Tran
K.P. Tran
AI4CE
357
2
0
17 Feb 2025
Preconditioned Inexact Stochastic ADMM for Deep Model
Preconditioned Inexact Stochastic ADMM for Deep Model
Shenglong Zhou
Ouya Wang
Ziyan Luo
Yongxu Zhu
Geoffrey Ye Li
438
1
0
15 Feb 2025
Leveraging large language models for structured information extraction from pathology reports
Leveraging large language models for structured information extraction from pathology reportsJournal of Pathology Informatics (J Pathol Inform), 2025
J. Balasubramanian
Daniel Adams
Ioannis Roxanis
Amy Berrington de Gonzalez
Penny Coulson
Jonas S. Almeida
Montserrat García-Closas
206
7
0
14 Feb 2025
One-shot Federated Learning Methods: A Practical Guide
One-shot Federated Learning Methods: A Practical GuideInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Xiang Liu
Zhenheng Tang
Xia Li
Yijun Song
Sijie Ji
Zemin Liu
Bo Han
Linshan Jiang
Jialin Li
FedML
388
7
0
13 Feb 2025
One-Shot Federated Learning with Classifier-Free Diffusion Models
One-Shot Federated Learning with Classifier-Free Diffusion Models
Obaidullah Zaland
Shutong Jin
Florian T. Pokorny
Monowar Bhuyan
255
6
0
12 Feb 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
Dezhong Yao
Yuexin Shi
Tongtong Liu
Zhiqiang Xu
276
3
0
12 Feb 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision-Language Models for Edge Networks: A Comprehensive SurveyIEEE Internet of Things Journal (IEEE IoT J.), 2025
Ahmed Sharshar
Latif U. Khan
Waseem Ullah
Mohsen Guizani
VLM
379
3
0
11 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
1.0K
0
0
10 Feb 2025
Privacy-Preserving Dataset Combination
Privacy-Preserving Dataset Combination
Keren Fuentes
Mimee Xu
Irene Chen
357
0
0
09 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated LearningNeural Information Processing Systems (NeurIPS), 2025
Runhua Xu
Shiqi Gao
Chao Li
J. Joshi
Jianxin Li
303
13
0
08 Feb 2025
Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks
Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial AttacksIEEE Conference on Technologies for Sustainability (TS), 2025
Yohannis Kifle Telila
Damitha Senevirathne
Dumindu Tissera
Apurva Narayan
Miriam A.M. Capretz
Katarina Grolinger
AAML
151
2
0
07 Feb 2025
E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing
E-3SFC: Communication-Efficient Federated Learning with Double-way Features SynthesizingIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Yuhao Zhou
Yuxin Tian
Mingjia Shi
Yuanxi Li
Yanan Sun
Qing Ye
Jiancheng Lv
232
2
0
05 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
234
0
0
03 Feb 2025
A Framework for Double-Blind Federated Adaptation of Foundation Models
A Framework for Double-Blind Federated Adaptation of Foundation Models
Nurbek Tastan
Karthik Nandakumar
FedML
322
0
0
03 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid
Praneeth Vepakomma
Mehdi Bennis
487
7
0
03 Feb 2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
Artavazd Maranjyan
El Mehdi Saad
Peter Richtárik
Francesco Orabona
492
2
0
02 Feb 2025
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated LearningThe Web Conference (WWW), 2025
Yu Feng
Yangli-ao Geng
Yifan Zhu
Zongfu Han
Xie Yu
Kaiwen Xue
Haoran Luo
Mengyang Sun
Guangwei Zhang
Meina Song
FedMLMoE
486
7
0
01 Feb 2025
S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
Pedro Miguel Sánchez Sánchez
Enrique Tomás Martínez Beltrán
Chao Feng
Gérome Bovet
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
221
1
0
31 Jan 2025
FedTLU: Federated Learning with Targeted Layer Updates
FedTLU: Federated Learning with Targeted Layer UpdatesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Jong-Ik Park
Carlee Joe-Wong
FedML
316
2
0
28 Jan 2025
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
Artavazd Maranjyan
Alexander Tyurin
Peter Richtárik
388
7
0
27 Jan 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with TeleportationInternational Conference on Learning Representations (ICLR), 2025
Yuki Takezawa
Sebastian U. Stich
432
1
0
25 Jan 2025
DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning
DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning
Bohan Liu
Yang Xiao
Ruimeng Ye
Zinan Ling
Xiaolong Ma
Bo Hui
OODAAMLFedML
268
1
0
25 Jan 2025
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