Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1912.04977
Cited By
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
D. Song
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
FedML
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Advances and Open Problems in Federated Learning"
50 / 193 papers shown
Title
Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare
Natallia Kokash
Lei Wang
Thomas H. Gillespie
Adam Belloum
Paola Grosso
Sara Quinney
Lang Li
Bernard de Bono
26
0
0
26 May 2025
Federated Retrieval-Augmented Generation: A Systematic Mapping Study
Abhijit Chakraborty
Chahana Dahal
Vivek Gupta
73
0
0
24 May 2025
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
Khellaf Rémi
Bellet Aurélien
Josse Julie
FedML
57
1
0
23 May 2025
Joint Graph Estimation and Signal Restoration for Robust Federated Learning
Tsutahiro Fukuhara
Junya Hara
Hiroshi Higashi
Yuichi Tanaka
FedML
35
0
0
16 May 2025
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
Chongyang Tan
Ruoqi Wen
Rongpeng Li
Zhifeng Zhao
Ekram Hossain
Honggang Zhang
67
0
0
16 May 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
Wujun Zhou
Shu Ding
Zechao Li
Wei Wang
FedML
64
0
0
15 May 2025
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Yiwei Zhang
R. Behnia
A. Yavuz
Reza Ebrahimi
E. Bertino
FedML
68
0
0
09 May 2025
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
Zhuang Qi
Sijin Zhou
Lei Meng
Han Hu
Han Yu
Xiangxu Meng
FedML
CML
373
0
0
08 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
96
0
0
05 May 2025
Sparsification Under Siege: Defending Against Poisoning Attacks in Communication-Efficient Federated Learning
Zhiyong Jin
Runhua Xu
Chong Li
Yunxing Liu
Jianxin Li
AAML
FedML
82
0
0
30 Apr 2025
LLMs meet Federated Learning for Scalable and Secure IoT Management
Yazan Otoum
Arghavan Asad
Amiya Nayak
53
2
0
22 Apr 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
Qifan Yan
Andrew Liu
Shiqi He
Mathias Lécuyer
Ivan Beschastnikh
FedML
106
0
0
21 Apr 2025
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation
Shenyang Liu
Yang Gao
Shaoyan Zhai
Liqiang Wang
51
0
0
06 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Chaoyi Lu
Yiding Sun
Pengbo Li
Zhichuan Yang
FedML
59
0
0
05 Apr 2025
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving
Hyoungwook Jin
Yoonsu Kim
Dongyun Jung
Seungju Kim
Kiyoon Choi
J. Son
Juho Kim
LRM
75
2
0
01 Apr 2025
LLM4FS: Leveraging Large Language Models for Feature Selection and How to Improve It
Jianhao Li
Xianchao Xiu
76
0
0
31 Mar 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation
Yongqian Li
Bo Liu
Sheng Huang
Zhe Zhang
Xiaotong Yuan
Richang Hong
71
0
0
31 Mar 2025
The Cost of Local and Global Fairness in Federated Learning
Yuying Duan
Gelei Xu
Yiyu Shi
Michael Lemmon
FedML
97
0
0
27 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi
Jinmeng Li
He Zhao
D. Guo
Yi Chang
FedML
79
0
0
19 Mar 2025
One-Shot Clustering for Federated Learning
Maciej Krzysztof Zuziak
Roberto Pellungrini
Salvatore Rinzivillo
FedML
107
0
0
06 Mar 2025
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
Xiang Zhang
Zhou Li
Kai Wan
Hua Sun
Mingyue Ji
Giuseppe Caire
102
0
0
06 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective
Masoud Kavian
Romain Chor
Milad Sefidgaran
Abdellatif Zaidi
FedML
72
1
0
03 Mar 2025
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
102
1
0
20 Feb 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation
Franco Galante
Giovanni Neglia
Emilio Leonardi
FedML
120
1
0
20 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
106
8
0
18 Feb 2025
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
106
0
0
17 Feb 2025
One-shot Federated Learning Methods: A Practical Guide
Xiang Liu
Zhenheng Tang
Xia Li
Yijun Song
Sijie Ji
Zemin Liu
Bo Han
Linshan Jiang
Jialin Li
FedML
113
1
0
13 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
393
0
0
10 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
Runhua Xu
Shiqi Gao
Chao Li
J. Joshi
Jianxin Li
54
2
0
08 Feb 2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
Artavazd Maranjyan
El Mehdi Saad
Peter Richtárik
Francesco Orabona
109
0
0
02 Feb 2025
FedTLU: Federated Learning with Targeted Layer Updates
Jong-Ik Park
Carlee Joe-Wong
FedML
122
0
0
28 Jan 2025
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Quoc Tran-Dinh
Yang Luo
126
8
0
28 Jan 2025
Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
Artavazd Maranjyan
Alexander Tyurin
Peter Richtárik
69
3
0
27 Jan 2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences
Maria Hartmann
Grégoire Danoy
Pascal Bouvry
FedML
68
0
0
23 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
Khaoula Chehbouni
Martine De Cock
Gilles Caporossi
Afaf Taik
Reihaneh Rabbany
G. Farnadi
106
1
0
21 Jan 2025
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu
Jiaze Li
Wanyi Wu
Hao Ren
FedML
70
1
0
20 Jan 2025
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice
M. Mikail Demir
Hakan T. Otal
M. A. Canbaz
AILaw
60
0
0
19 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
153
9
0
17 Jan 2025
Differentially Private Online Federated Learning with Correlated Noise
Jiaojiao Zhang
Linglingzhi Zhu
Mikael Johansson
FedML
64
1
0
10 Jan 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
Yanbing Zhou
Xiangmou Qu
Chenlong You
Jiyang Zhou
Jingyue Tang
Xin Zheng
Chunmao Cai
Yingbo Wu
FedML
90
3
0
09 Jan 2025
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
Hu Ding
Yan Yan
Yang Lu
Jing-Hao Xue
Hanzi Wang
98
0
0
03 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy
Yuemin Zhang
Qingqing Ye
Haibo Hu
FedML
146
1
0
03 Jan 2025
Disentangling data distribution for Federated Learning
Xinyuan Zhao
Hanlin Gu
Lixin Fan
Qiang Yang
Yuxing Han
OOD
FedML
80
0
0
31 Dec 2024
A Unified Analysis of Federated Learning with Arbitrary Client Participation
Shiqiang Wang
Mingyue Ji
FedML
73
56
0
31 Dec 2024
SoK: Decentralized AI (DeAI)
Zhipeng Wang
Rui Sun
Elizabeth Lui
Vatsal Shah
Xihan Xiong
Jiahao Sun
Davide Crapis
William Knottenbelt
155
1
0
26 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks
Francesco Diana
Othmane Marfoq
Chuan Xu
Giovanni Neglia
F. Giroire
Eoin Thomas
AAML
462
1
0
19 Nov 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Mengmeng Chen
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Qiqi Liu
Qicheng Lao
Han Yu
FedML
54
4
0
25 Oct 2024
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
158
1
0
21 Oct 2024
Backdoor Attack on Vertical Federated Graph Neural Network Learning
Jirui Yang
Peng Chen
Zhihui Lu
Ruijun Deng
Qiang Duan
Jianping Zeng
AAML
FedML
358
0
0
15 Oct 2024
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
ALM
FedML
85
1
0
15 Oct 2024
1
2
3
4
Next