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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
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
Sannara Ek
Kaile Wang
François Portet
P. Lalanda
Jiannong Cao
FedML
379
0
0
15 Nov 2024
Towards efficient compression and communication for prototype-based
  decentralized learning
Towards efficient compression and communication for prototype-based decentralized learning
Pablo Fernández-Piñeiro
Manuel Ferández-Veiga
R. Redondo
Ana Fernández-Vilas
Martín González Soto
174
0
0
14 Nov 2024
Federated Learning Client Pruning for Noisy Labels
Federated Learning Client Pruning for Noisy LabelsACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2024
Mahdi Morafah
Hojin Chang
Chong Chen
Bill Lin
302
2
0
11 Nov 2024
Revisiting Ensembling in One-Shot Federated Learning
Revisiting Ensembling in One-Shot Federated LearningNeural Information Processing Systems (NeurIPS), 2024
Youssef Allouah
Akash Dhasade
R. Guerraoui
Nirupam Gupta
Anne-Marie Kermarrec
Rafael Pinot
Rafael Pires
Rishi Sharma
FedML
222
7
0
11 Nov 2024
WassFFed: Wasserstein Fair Federated Learning
WassFFed: Wasserstein Fair Federated Learning
Zhongxuan Han
Lulu Zhang
C. L. Philip Chen
Xiaolin Zheng
Fei Zheng
Yuyuan Li
Yuxiang Cai
FedML
192
0
0
11 Nov 2024
Using Diffusion Models as Generative Replay in Continual Federated
  Learning -- What will Happen?
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen?
Yongsheng Mei
Liangqi Yuan
Dong-Jun Han
Kevin S. Chan
Christopher G. Brinton
Tian-Shing Lan
287
1
0
10 Nov 2024
PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled
  Representation Learning
PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation LearningIEEE International Symposium on Biomedical Imaging (ISBI), 2024
Sarang Galada
Tanurima Halder
Kunal Deo
Ram P Krish
Kshitij Jadhav
77
0
0
10 Nov 2024
Personalized Hierarchical Split Federated Learning in Wireless Networks
Personalized Hierarchical Split Federated Learning in Wireless Networks
Md Ferdous Pervej
Andreas F. Molisch
313
0
0
09 Nov 2024
ION-C: Integration of Overlapping Networks via Constraints
ION-C: Integration of Overlapping Networks via Constraints
Praveen Nair
Payal Bhandari
Mohammadsajad Abavisani
Sergey Plis
David Danks
GNN
177
0
0
06 Nov 2024
On the Decomposition of Differential Game
On the Decomposition of Differential Game
Nanxiang Zhou
Jing Dong
Yutian Li
Baoxiang Wang
280
0
0
06 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
Marlon Tobaben
Mohamed Ali Souibgui
Rubèn Pérez Tito
Khanh Nguyen
Raouf Kerkouche
...
Josep Lladós
Ernest Valveny
Antti Honkela
Mario Fritz
Dimosthenis Karatzas
FedML
376
1
0
06 Nov 2024
Overcoming label shift with target-aware federated learning
Overcoming label shift with target-aware federated learning
Edvin Listo Zec
Adam Breitholtz
Fredrik D. Johansson
FedML
424
1
0
06 Nov 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks
Formal Logic-guided Robust Federated Learning against Poisoning Attacks
Dung T. Nguyen
Ziyan An
Taylor T. Johnson
Meiyi Ma
Kevin Leach
AAMLOOD
305
1
0
05 Nov 2024
Photon: Federated LLM Pre-Training
Photon: Federated LLM Pre-Training
Lorenzo Sani
Alex Iacob
Zeyu Cao
Royson Lee
Bill Marino
...
Dongqi Cai
Zexi Li
Wanru Zhao
Xinchi Qiu
Nicholas D. Lane
AI4CE
316
17
0
05 Nov 2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor
  Attacks
FedBlock: A Blockchain Approach to Federated Learning against Backdoor AttacksBigData Congress [Services Society] (BSS), 2024
D. Nguyen
Phi Le Nguyen
T. Nguyen
Hieu H. Pham
D. Tran
FedML
194
2
0
05 Nov 2024
Federated GNNs for EEG-Based Stroke Assessment
Federated GNNs for EEG-Based Stroke Assessment
Andrea Protani
Lorenzo Giusti
Albert Sund Aillet
Simona Sacco
Paolo Manganotti
...
Pierpaolo Brutti
Pietro Caliandro
Luigi Serio
Pietro Caliandro
Luigi Serio
FedML
181
2
0
04 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual LearnersBigData Congress [Services Society] (BSS), 2024
Yuchen He
Xiangfeng Wang
CLLFedML
285
2
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning FrameworkBigData Congress [Services Society] (BSS), 2024
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
418
5
0
04 Nov 2024
Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging
  Design Frameworks and Contemporary Applications
Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging Design Frameworks and Contemporary ApplicationsIEEE Control Systems Letters (L-CSS), 2024
Quanyan Zhu
Tamer Basar
281
6
0
04 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond
Trustworthy Federated Learning: Privacy, Security, and BeyondKnowledge and Information Systems (KAIS), 2024
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
293
46
0
03 Nov 2024
Analysis of regularized federated learning
Analysis of regularized federated learning
Langming Liu
Dingxuan Zhou
FedML
141
4
0
03 Nov 2024
Anomalous Client Detection in Federated Learning
Anomalous Client Detection in Federated Learning
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
FedML
121
2
0
03 Nov 2024
Federated Learning with Relative Fairness
Federated Learning with Relative Fairness
Shogo H. Nakakita
Tatsuya Kaneko
Shinya Takamaeda-Yamazaki
Masaaki Imaizumi
FedML
225
2
0
02 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation
Personalized Federated Learning via Feature Distribution AdaptationNeural Information Processing Systems (NeurIPS), 2024
Connor Mclaughlin
Lili Su
FedMLOOD
409
19
0
01 Nov 2024
ROSS: RObust decentralized Stochastic learning based on Shapley values
ROSS: RObust decentralized Stochastic learning based on Shapley values
Lina Wang
Yunsheng Yuan
Feng Li
Lingjie Duan
FedML
325
0
0
01 Nov 2024
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data
Saptarshi Chakraborty
Peter L. Bartlett
FedML
350
1
0
28 Oct 2024
Props for Machine-Learning Security
Props for Machine-Learning Security
Ari Juels
Farinaz Koushanfar
156
3
0
27 Oct 2024
Collaborative Inference over Wireless Channels with Feature Differential
  Privacy
Collaborative Inference over Wireless Channels with Feature Differential Privacy
Mohamed Seif
Yuqi Nie
Andrea J. Goldsmith
H. Poor
141
2
0
25 Oct 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated LearningNeural Information Processing Systems (NeurIPS), 2024
Mengmeng Chen
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Qiqi Liu
Qicheng Lao
Han Yu
FedML
351
10
0
25 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and
  Data Entropy-driven Participant Selection
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant SelectionIEEE Internet of Things Journal (IEEE IoT J.), 2024
Charuka Herath
Xiaolan Liu
S. Lambotharan
Y. Rahulamathavan
FedML
225
8
0
23 Oct 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and
  Mixed Poisoning Attacks
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Tao Li
Henger Li
Yunian Pan
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
FedML
184
10
0
22 Oct 2024
Neural Search Space in Gboard Decoder
Neural Search Space in Gboard DecoderConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Yanxiang Zhang
Yuanbo Zhang
Haicheng Sun
Yun Wang
Billy Dou
Gary Sivek
Shumin Zhai
271
0
0
21 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization
Federated Communication-Efficient Multi-Objective OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
630
2
0
21 Oct 2024
A Bayesian Framework for Clustered Federated Learning
A Bayesian Framework for Clustered Federated Learning
Peng Wu
Tales Imbiriba
Pau Closas
FedML
311
3
0
20 Oct 2024
Tighter Performance Theory of FedExProx
Tighter Performance Theory of FedExProx
Wojciech Anyszka
Kaja Gruntkowska
Alexander Tyurin
Peter Richtárik
FedML
214
2
0
20 Oct 2024
Personalized Federated Learning with Adaptive Feature Aggregation and
  Knowledge Transfer
Personalized Federated Learning with Adaptive Feature Aggregation and Knowledge Transfer
Keting Yin
Jiayi Mao
277
3
0
19 Oct 2024
Comparative Evaluation of Clustered Federated Learning Methods
Comparative Evaluation of Clustered Federated Learning Methods
Michael Ben Ali
Omar El-Rifai
Imen Megdiche
André Peninou
Olivier Teste
FedML
141
0
0
18 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing
  Neighbor Information
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor InformationConference on Uncertainty in Artificial Intelligence (UAI), 2024
Ömer Faruk Akgül
Rajgopal Kannan
Viktor Prasanna
FedML
298
0
0
17 Oct 2024
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework
  for Financial Institutions with Policy Pillars
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars
Peilin He
Chenkai Lin
Isabella Montoya
142
2
0
17 Oct 2024
Investigating Effective Speaker Property Privacy Protection in Federated
  Learning for Speech Emotion Recognition
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion RecognitionACM Multimedia Asia (MMAsia), 2024
Chao Tan
Sheng Li
Yang Cao
Zhao Ren
Tanja Schultz
148
1
0
17 Oct 2024
Federated scientific machine learning for approximating functions and
  solving differential equations with data heterogeneity
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity
Handi Zhang
Langchen Liu
Lu Lu
FedML
227
7
0
17 Oct 2024
FedCAP: Robust Federated Learning via Customized Aggregation and
  Personalization
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationAsia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Youpeng Li
Xiang Wang
Fuxun Yu
Lichao Sun
Wenbin Zhang
Xuyu Wang
FedML
769
2
0
16 Oct 2024
FedGTST: Boosting Global Transferability of Federated Models via
  Statistics Tuning
FedGTST: Boosting Global Transferability of Federated Models via Statistics TuningNeural Information Processing Systems (NeurIPS), 2024
Peizhi Niu
Chao Pan
Rasoul Etesami
Han Zhao
S. Rasoul Etesami
FedMLAAML
261
0
0
16 Oct 2024
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving
  Federated Low-rank Adaptation
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank AdaptationIEEE Transactions on Medical Imaging (IEEE TMI), 2024
Meilu Zhu
Axiu Mao
Jun Liu
Yixuan Yuan
219
7
0
16 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Sajjad Ghiasvand
Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
FedML
563
7
0
16 Oct 2024
Why Go Full? Elevating Federated Learning Through Partial Network
  Updates
Why Go Full? Elevating Federated Learning Through Partial Network UpdatesNeural Information Processing Systems (NeurIPS), 2024
Haolin Wang
Xuefeng Liu
Jianwei Niu
Wenkai Guo
Shaojie Tang
FedML
435
3
0
15 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning
Backdoor Attack on Vertical Federated Graph Neural Network LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Jirui Yang
Peng Chen
Zhihui Lu
Ruijun Deng
Qiang Duan
Jianping Zeng
AAMLFedML
914
1
0
15 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models
Data Quality Control in Federated Instruction-tuning of Large Language Models
Yaxin Du
Guangyi Liu
Fengting Yuchi
W. Zhao
Jingjing Qu
Yanjie Wang
Siheng Chen
ALMFedML
427
3
0
15 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Jun Luo
Chong Chen
Shandong Wu
FedMLVLMMoE
567
15
0
14 Oct 2024
FedECADO: A Dynamical System Model of Federated Learning
FedECADO: A Dynamical System Model of Federated Learning
Aayushya Agarwal
Gauri Joshi
L. Pileggi
FedML
171
2
0
13 Oct 2024
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