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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 / 2,958 papers shown
Adversary-Aware Private Inference over Wireless Channels
Adversary-Aware Private Inference over Wireless Channels
Mohamed Seif
Malcolm Egan
Andrea J. Goldsmith
H. Poor
AAML
88
0
0
23 Oct 2025
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via fff-Differential Privacy
Xiang Li
Buxin Su
Chendi Wang
Qi Long
Weijie J. Su
FedML
158
1
0
22 Oct 2025
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
A. Bellet
Edwige Cyffers
Davide Frey
Romaric Gaudel
Dimitri Lerévérend
François Taïani
116
2
0
20 Oct 2025
Watermark Robustness and Radioactivity May Be at Odds in Federated Learning
Watermark Robustness and Radioactivity May Be at Odds in Federated Learning
Leixu Huang
Zedian Shao
Teodora Baluta
WaLM
219
0
0
19 Oct 2025
MuonBP: Faster Muon via Block-Periodic Orthogonalization
MuonBP: Faster Muon via Block-Periodic Orthogonalization
Ahmed Khaled
Kaan Ozkara
Tao Yu
Mingyi Hong
Youngsuk Park
96
3
0
19 Oct 2025
Flexible Threshold Multi-client Functional Encryption for Inner Product in Federated Learning
Flexible Threshold Multi-client Functional Encryption for Inner Product in Federated Learning
Ruyuan Zhang
Jinguang Han
Liqun Chen
87
0
0
17 Oct 2025
Incentive-Based Federated Learning: Architectural Elements and Future Directions
Incentive-Based Federated Learning: Architectural Elements and Future Directions
Chanuka A.S. Hewa Kaluannakkage
Rajkumar Buyya
FedML
195
0
0
16 Oct 2025
FedPPA: Progressive Parameter Alignment for Personalized Federated Learning
FedPPA: Progressive Parameter Alignment for Personalized Federated Learning
Maulidi Adi Prasetia
Muhamad Risqi U. Saputra
Guntur Dharma Putra
80
0
0
16 Oct 2025
Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy
Local Differential Privacy for Federated Learning with Fixed Memory Usage and Per-Client Privacy
R. Behnia
Jeremiah Birrell
Arman Riasi
Reza Ebrahimi
Kaushik Dutta
Thang Hoang
140
2
0
14 Oct 2025
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
160
0
0
14 Oct 2025
Evaluation of Differential Privacy Mechanisms on Federated Learning
Evaluation of Differential Privacy Mechanisms on Federated Learning
Tejash Varsani
FedML
94
0
0
09 Oct 2025
Bridging the Physics-Data Gap with FNO-Guided Conditional Flow Matching: Designing Inductive Bias through Hierarchical Physical Constraints
Bridging the Physics-Data Gap with FNO-Guided Conditional Flow Matching: Designing Inductive Bias through Hierarchical Physical Constraints
Tsuyoshi Okita
AI4CE
130
0
0
09 Oct 2025
DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
Mariona Jaramillo-Civill
Peng Wu
Pau Closas
FedML
124
0
0
08 Oct 2025
Power Transform Revisited: Numerically Stable, and Federated
Power Transform Revisited: Numerically Stable, and Federated
Xuefeng Xu
Graham Cormode
FedML
76
0
0
06 Oct 2025
MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
Alex Iacob
Andrej Jovanovic
M. Safaryan
Meghdad Kurmanji
Lorenzo Sani
Samuel Horváth
William F. Shen
Xinchi Qiu
Nicholas D. Lane
AI4CE
154
0
0
06 Oct 2025
Federated Computation of ROC and PR Curves
Federated Computation of ROC and PR Curves
Xuefeng Xu
Graham Cormode
FedML
88
0
0
06 Oct 2025
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
Lutz Oettershagen
Othon Michail
221
0
0
04 Oct 2025
Technical note on Fisher Information for Robust Federated Cross-Validation
Technical note on Fisher Information for Robust Federated Cross-Validation
Behraj Khan
T. Syed
FedML
128
0
0
04 Oct 2025
A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
Michael Ben Ali
Imen Megdiche
André Peninou
Olivier Teste
FedML
117
0
0
03 Oct 2025
FTTE: Federated Learning on Resource-Constrained Devices
FTTE: Federated Learning on Resource-Constrained Devices
Irene Tenison
Anna Murphy
Charles Beauville
Lalana Kagal
FedML
104
0
0
03 Oct 2025
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices
Congzheng Song
Xinyu Tang
112
0
0
03 Oct 2025
FRIEREN: Federated Learning with Vision-Language Regularization for Segmentation
FRIEREN: Federated Learning with Vision-Language Regularization for Segmentation
Ding-Ruei Shen
FedMLVLM
158
0
0
02 Oct 2025
TAP: Two-Stage Adaptive Personalization of Multi-task and Multi-Modal Foundation Models in Federated Learning
TAP: Two-Stage Adaptive Personalization of Multi-task and Multi-Modal Foundation Models in Federated Learning
Seohyun Lee
Wenzhi Fang
Dong-Jun Han
Seyyedali Hosseinalipour
Christopher G. Brinton
116
0
0
30 Sep 2025
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation
Yiwei Li
Shuai Wang
Zhuojun Tian
X. Wang
Shijian Su
FedML
96
0
0
30 Sep 2025
FedMuon: Federated Learning with Bias-corrected LMO-based Optimization
FedMuon: Federated Learning with Bias-corrected LMO-based Optimization
Yuki Takezawa
Anastasia Koloskova
Xiaowen Jiang
Sebastian U. Stich
150
0
0
30 Sep 2025
Zero-Shot Decentralized Federated Learning
Zero-Shot Decentralized Federated Learning
Alessio Masano
M. Pennisi
Federica Proietto Salanitri
C. Spampinato
Giovanni Bellitto
FedMLVLM
128
0
0
30 Sep 2025
FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits
FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits
Pingchen Lu
Zhi Hong
Zhiwei Shang
Zhiyong Wang
Yikun Ban
Yao Shu
Min Zhang
Shuang Qiu
Zhongxiang Dai
FedML
124
0
0
29 Sep 2025
H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning
H+: An Efficient Similarity-Aware Aggregation for Byzantine Resilient Federated Learning
Shiyuan Zuo
Rongfei Fan
Cheng Zhan
Jie Xu
P. Zhao
Han Hu
AAML
108
0
0
29 Sep 2025
Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
Bochra Al Agha
Razane Tajeddine
108
0
0
29 Sep 2025
Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement Learning
Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement Learning
Alexander Tyurin
Andrei Spiridonov
Varvara Rudenko
OffRL
120
0
0
29 Sep 2025
Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches
Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches
Amirreza Sokhankhosh
Khalid Hassan
Sara Rouhani
FedML
112
0
0
29 Sep 2025
Distributionally Robust Federated Learning with Outlier Resilience
Distributionally Robust Federated Learning with Outlier Resilience
Zifan Wang
Xinlei Yi
Xenia Konti
Michael M. Zavlanos
Karl H. Johansson
OOD
110
0
0
29 Sep 2025
Non-Linear Trajectory Modeling for Multi-Step Gradient Inversion Attacks in Federated Learning
Non-Linear Trajectory Modeling for Multi-Step Gradient Inversion Attacks in Federated Learning
Li Xia
Zheng Liu
Sili Huang
Wei Tang
Xuan Liu
Xuan Liu
AAML
128
1
0
26 Sep 2025
Communication-Efficient and Interoperable Distributed Learning
Communication-Efficient and Interoperable Distributed Learning
Mounssif Krouka
M. Bennis
FedML
127
0
0
26 Sep 2025
Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity
Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity
Artavazd Maranjyan
Peter Richtárik
FedML
97
0
0
26 Sep 2025
AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning
AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning
Aashnan Rahman
Abid Hasan
Sherajul Arifin
Faisal Haque Bappy
Tahrim Hossain
Tariqul Islam
Abu Raihan Mostofa Kamal
M. Hossain
AAML
144
0
0
26 Sep 2025
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
Changán Yi
Xiaohui Deng
Shuaicheng Niu
Yan Zhou
148
0
0
26 Sep 2025
Distribution-Controlled Client Selection to Improve Federated Learning Strategies
Distribution-Controlled Client Selection to Improve Federated Learning Strategies
Christoph Düsing
Philipp Cimiano
FedML
128
1
0
25 Sep 2025
Improving Early Sepsis Onset Prediction Through Federated Learning
Improving Early Sepsis Onset Prediction Through Federated Learning
Christoph Düsing
Philipp Cimiano
FedMLOODAI4CE
72
0
0
25 Sep 2025
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
Yipu Zhang
Chengshuo Zhang
Ziyu Zhou
Gang Qu
Hao Zheng
Yuping Wang
Hui Shen
H. Deng
FedML
88
0
0
25 Sep 2025
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A Survey
Towards Adapting Federated & Quantum Machine Learning for Network Intrusion Detection: A SurveyInternational Conference on Modern Circuits and Systems Technologies (ICMCST), 2025
Devashish Chaudhary
Sutharshan Rajasegarar
Mengyue Deng
FedMLAI4CE
513
1
0
24 Sep 2025
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
Zhaoxin Wang
Handing Wang
Cong Tian
Yaochu Jin
FedMLAAML
144
0
0
23 Sep 2025
FedFusion: Federated Learning with Diversity- and Cluster-Aware Encoders for Robust Adaptation under Label Scarcity
FedFusion: Federated Learning with Diversity- and Cluster-Aware Encoders for Robust Adaptation under Label Scarcity
Ferdinand Kahenga
A. Bagula
Patrick Sello
Sajal K. Das
FedML
92
0
0
23 Sep 2025
Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data
Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data
Zhuoyu Yao
Yue Wang
Songyang Zhang
Y. Li
Zhipeng Cai
Zhi Tian
80
0
0
22 Sep 2025
A non-smooth regularization framework for learning over multitask graphs
A non-smooth regularization framework for learning over multitask graphs
Yara Zgheib
Luca Calatroni
Marc Antonini
Roula Nassif
93
0
0
22 Sep 2025
Federated Learning with Ad-hoc Adapter Insertions: The Case of Soft-Embeddings for Training Classifier-as-Retriever
Federated Learning with Ad-hoc Adapter Insertions: The Case of Soft-Embeddings for Training Classifier-as-Retriever
Marijan Fofonjka
Shahryar Zehtabi
Alireza Behtash
Tyler Mauer
David Stout
FedML
129
0
0
20 Sep 2025
Personalized Federated Heat-Kernel Enhanced Multi-View Clustering via Advanced Tensor Decomposition Techniques
Personalized Federated Heat-Kernel Enhanced Multi-View Clustering via Advanced Tensor Decomposition Techniques
Kristina P. Sinaga
FedML
168
0
0
19 Sep 2025
Federated Learning for Financial Forecasting
Federated Learning for Financial Forecasting
Manuel Noseda
Alberto De Luca
Lukas Von Briel
Nathan Lacour
FedMLAIFin
61
0
0
19 Sep 2025
Who to Trust? Aggregating Client Knowledge in Logit-Based Federated Learning
Who to Trust? Aggregating Client Knowledge in Logit-Based Federated Learning
Viktor Kovalchuk
Nikita Kotelevskii
Maxim Panov
Samuel Horvath
Martin Takáč
FedML
92
0
0
18 Sep 2025
Federated Learning for Deforestation Detection: A Distributed Approach with Satellite Imagery
Federated Learning for Deforestation Detection: A Distributed Approach with Satellite Imagery
Yuvraj Dutta
Aaditya Sikder
Basabdatta Palit
FedML
72
0
0
17 Sep 2025
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