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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
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee
  for Federated Learning Service
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service
Meiying Zhang
Huan Zhao
Sheldon C Ebron
Ruitao Xie
Kan Yang
169
3
0
05 Dec 2023
Heroes: Lightweight Federated Learning with Neural Composition and
  Adaptive Local Update in Heterogeneous Edge Networks
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge NetworksIEEE Conference on Computer Communications (INFOCOM), 2023
Jiaming Yan
Jianchun Liu
Shilong Wang
Hong-Ze Xu
Haifeng Liu
Jianhua Zhou
FedML
216
8
0
04 Dec 2023
Agglomerative Federated Learning: Empowering Larger Model Training via
  End-Edge-Cloud Collaboration
Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud CollaborationIEEE Conference on Computer Communications (INFOCOM), 2023
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Bo Gao
Quyang Pan
Tianliu He
Xue Jiang
FedML
448
23
0
01 Dec 2023
FediOS: Decoupling Orthogonal Subspaces for Personalization in
  Feature-skew Federated Learning
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning
Lingzhi Gao
Zexi Li
Yang Lu
Chao Wu
287
9
0
30 Nov 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated
  Learning
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated LearningInternational Symposium on Emerging Information Security and Applications (EISA), 2023
Kangkang Sun
Xiaojin Zhang
Xi Lin
Gaolei Li
Jing Wang
Jianhua Li
158
8
0
30 Nov 2023
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Riccardo Zaccone
Sai Praneeth Karimireddy
Carlo Masone
Marco Ciccone
FedML
426
3
0
30 Nov 2023
Mixed-Precision Quantization for Federated Learning on
  Resource-Constrained Heterogeneous Devices
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous DevicesComputer Vision and Pattern Recognition (CVPR), 2023
Huancheng Chen
H. Vikalo
FedMLMQ
291
19
0
29 Nov 2023
Federated Online and Bandit Convex Optimization
Federated Online and Bandit Convex OptimizationInternational Conference on Machine Learning (ICML), 2023
Kumar Kshitij Patel
Lingxiao Wang
Aadirupa Saha
Nathan Srebro
FedML
273
9
0
29 Nov 2023
FedECA: A Federated External Control Arm Method for Causal Inference
  with Time-To-Event Data in Distributed Settings
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed SettingsNature Communications (Nat. Commun.), 2023
Jean Ogier du Terrail
Quentin Klopfenstein
Honghao Li
Imke Mayer
Nicolas Loiseau
Mohammad Hallal
Félix Balazard
M. Andreux
363
2
0
28 Nov 2023
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting
FP-Fed: Privacy-Preserving Federated Detection of Browser FingerprintingNetwork and Distributed System Security Symposium (NDSS), 2023
Meenatchi Sundaram Muthu Selva Annamalai
Igor Bilogrevic
Emiliano De Cristofaro
202
4
0
28 Nov 2023
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial
  Learning
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial LearningIEEE Journal on Selected Areas in Communications (JSAC), 2023
Pengchao Han
Xingyan Shi
Jianwei Huang
FedML
461
9
0
28 Nov 2023
Communication Efficiency Optimization of Federated Learning for
  Computing and Network Convergence of 6G Networks
Communication Efficiency Optimization of Federated Learning for Computing and Network Convergence of 6G Networks
Yizhuo Cai
Bo Lei
Qianying Zhao
Jing Peng
Min Wei
Yushun Zhang
Xing Zhang
FedML
57
2
0
28 Nov 2023
On the Effect of Defections in Federated Learning and How to Prevent
  Them
On the Effect of Defections in Federated Learning and How to Prevent Them
Minbiao Han
Kumar Kshitij Patel
Han Shao
Lingxiao Wang
FedML
229
4
0
28 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm
  Perspective
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedMLAAML
280
35
0
27 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space
Eliminating Domain Bias for Federated Learning in Representation SpaceNeural Information Processing Systems (NeurIPS), 2023
Jianqing Zhang
Yang Hua
Jian Cao
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
268
66
0
25 Nov 2023
Prototype of deployment of Federated Learning with IoT devices
Prototype of deployment of Federated Learning with IoT devicesACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN), 2022
Pablo García Santaclara
Ana Fernández-Vilas
R. Redondo
140
12
0
24 Nov 2023
AdapterFL: Adaptive Heterogeneous Federated Learning for
  Resource-constrained Mobile Computing Systems
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems
Ruixuan Liu
Ming Hu
Zeke Xia
Jun Xia
Peng Zhang
Yihao Huang
Yang Liu
Xiao He
FedML
241
8
0
23 Nov 2023
MergeSFL: Split Federated Learning with Feature Merging and Batch Size
  Regulation
MergeSFL: Split Federated Learning with Feature Merging and Batch Size RegulationIEEE International Conference on Data Engineering (ICDE), 2023
Yunming Liao
Yang Xu
Hong-Ze Xu
Lun Wang
Zhiwei Yao
C. Qiao
FedMLMoMe
317
26
0
22 Nov 2023
FedHCA$^2$: Towards Hetero-Client Federated Multi-Task Learning
FedHCA2^22: Towards Hetero-Client Federated Multi-Task LearningComputer Vision and Pattern Recognition (CVPR), 2023
Yuxiang Lu
Wei Ji
Yuwen Yang
Shalayiding Sirejiding
Yue Ding
Hongtao Lu
FedML
298
19
0
22 Nov 2023
FedDRO: Federated Compositional Optimization for Distributionally Robust
  Learning
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning
Prashant Khanduri
Chengyin Li
Rafi Ibn Sultan
Yao Qiang
Joerg Kliewer
Dongxiao Zhu
251
1
0
21 Nov 2023
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New
  Perspective on Convergence
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on ConvergenceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Shu Zheng
Tiandi Ye
Xiang Li
Ming Gao
FedML
154
6
0
21 Nov 2023
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication
Yang Li
Chunhe Xia
Wei Liu
516
1
0
21 Nov 2023
Exploring Machine Learning Models for Federated Learning: A Review of
  Approaches, Performance, and Limitations
Exploring Machine Learning Models for Federated Learning: A Review of Approaches, Performance, and Limitations
Elaheh Jafarigol
Theodore Trafalis
Talayeh Razzaghi
Mona Zamankhani
FedML
162
3
0
17 Nov 2023
Leveraging Function Space Aggregation for Federated Learning at Scale
Leveraging Function Space Aggregation for Federated Learning at Scale
Nikita Dhawan
Nicole Mitchell
Zachary B. Charles
Zachary Garrett
Gintare Karolina Dziugaite
FedML
287
4
0
17 Nov 2023
Contribution Evaluation in Federated Learning: Examining Current
  Approaches
Contribution Evaluation in Federated Learning: Examining Current Approaches
Vasilis Siomos
Jonathan Passerat-Palmbach
FedML
256
4
0
16 Nov 2023
FedCode: Communication-Efficient Federated Learning via Transferring
  Codebooks
FedCode: Communication-Efficient Federated Learning via Transferring CodebooksInternational Conference on Edge Computing [Services Society] (EDGE), 2023
Saeed Khalilian Gourtani
Vasileios Tsouvalas
T. Ozcelebi
N. Meratnia
FedML
311
7
0
15 Nov 2023
Federated Learning for Sparse Principal Component Analysis
Federated Learning for Sparse Principal Component AnalysisBigData Congress [Services Society] (BSS), 2023
Sin Cheng Ciou
Pin-Jui Chen
Elvin Y. Tseng
Yuh-Jye Lee
FedML
191
0
0
15 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated
  Class Incremental Learning for Vision Tasks
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision TasksNeural Information Processing Systems (NeurIPS), 2023
Sara Babakniya
Zalan Fabian
Chaoyang He
Mahdi Soltanolkotabi
Salman Avestimehr
FedMLCLL
277
63
0
13 Nov 2023
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks
  Through Local Update Amplification
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update AmplificationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Zirui Gong
Liyue Shen
Yanjun Zhang
Leo Yu Zhang
Jingwei Wang
Guangdong Bai
Yong Xiang
AAML
240
12
0
13 Nov 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature
  Extractor Sharing
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing
Liping Yi
Han Yu
Gang Wang
Xiaoguang Liu
225
9
0
12 Nov 2023
Tunable Soft Prompts are Messengers in Federated Learning
Tunable Soft Prompts are Messengers in Federated LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Chenhe Dong
Yuexiang Xie
Bolin Ding
Ying Shen
Yaliang Li
FedML
196
10
0
12 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope
Personalized Federated Learning via ADMM with Moreau Envelope
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Zhiyong Peng
222
0
0
12 Nov 2023
Federated Learning Across Decentralized and Unshared Archives for Remote
  Sensing Image Classification
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image ClassificationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
Baris Büyüktas
Gencer Sumbul
Begüm Demir
FedML
373
13
0
10 Nov 2023
Federated Learning with Manifold Regularization and Normalized Update
  Reaggregation
Federated Learning with Manifold Regularization and Normalized Update ReaggregationNeural Information Processing Systems (NeurIPS), 2023
Xuming An
Li Shen
Han Hu
Yong Luo
FedML
205
11
0
10 Nov 2023
Honest Score Client Selection Scheme: Preventing Federated Learning
  Label Flipping Attacks in Non-IID Scenarios
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios
Yanli Li
Huaming Chen
Wei Bao
Zhengmeng Xu
Dong Yuan
AAML
180
7
0
10 Nov 2023
The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to
  Improve Generalization, Stability, and Privacy in Federated Learning
The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning
Elaheh Jafarigol
Theodore Trafalis
FedML
228
1
0
09 Nov 2023
Compressed and Sparse Models for Non-Convex Decentralized Learning
Compressed and Sparse Models for Non-Convex Decentralized Learning
Andrew Campbell
Hang Liu
Leah Woldemariam
Anna Scaglione
203
0
0
09 Nov 2023
Personalized Online Federated Learning with Multiple Kernels
Personalized Online Federated Learning with Multiple Kernels
P. M. Ghari
Yanning Shen
231
16
0
09 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative
  Parameter Alignment
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
FedML
424
2
0
08 Nov 2023
Decentralized Personalized Online Federated Learning
Decentralized Personalized Online Federated Learning
Renzhi Wu
Saayan Mitra
Xiang Chen
Anup Rao
FedML
238
3
0
08 Nov 2023
Robust and Communication-Efficient Federated Domain Adaptation via
  Random Features
Robust and Communication-Efficient Federated Domain Adaptation via Random Features
Zhanbo Feng
Yuanjie Wang
Jie Li
Fan Yang
Jiong Lou
Tiebin Mi
Robert C. Qiu
Zhenyu Liao
161
4
0
08 Nov 2023
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving
  for Internet of Things
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things
Hengliang Tang
Zihang Zhao
Detian Liu
Yang Cao
Shiqiang Zhang
Siqing You
219
3
0
08 Nov 2023
Federated Experiment Design under Distributed Differential Privacy
Federated Experiment Design under Distributed Differential Privacy
Wei-Ning Chen
Graham Cormode
Akash Bharadwaj
Peter Romov
Ayfer Özgür
FedML
228
4
0
07 Nov 2023
EControl: Fast Distributed Optimization with Compression and Error
  Control
EControl: Fast Distributed Optimization with Compression and Error ControlInternational Conference on Learning Representations (ICLR), 2023
Yuan Gao
Rustem Islamov
Sebastian U. Stich
240
16
0
06 Nov 2023
Communication Efficient and Privacy-Preserving Federated Learning Based
  on Evolution Strategies
Communication Efficient and Privacy-Preserving Federated Learning Based on Evolution Strategies
Guangchen Lan
FedML
199
0
0
05 Nov 2023
Communication-Efficient Federated Non-Linear Bandit Optimization
Communication-Efficient Federated Non-Linear Bandit OptimizationInternational Conference on Learning Representations (ICLR), 2023
Chuanhao Li
Chong Liu
Yu Wang
FedML
194
2
0
03 Nov 2023
Federated Learning on Edge Sensing Devices: A Review
Federated Learning on Edge Sensing Devices: A Review
Berrenur Saylam
Ozlem Durmaz Incel
239
2
0
02 Nov 2023
MetisFL: An Embarrassingly Parallelized Controller for Scalable &
  Efficient Federated Learning Workflows
MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows
Dimitris Stripelis
Chrysovalantis Anastasiou
Patrick Toral
Armaghan Asghar
J. Ambite
291
2
0
01 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain
  Generalization
StableFDG: Style and Attention Based Learning for Federated Domain GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Jun-Gyu Park
Dong-Jun Han
Jinho Kim
Jianing Zhang
Christopher G. Brinton
Jaekyun Moon
OODFedML
213
26
0
01 Nov 2023
Backdoor Threats from Compromised Foundation Models to Federated
  Learning
Backdoor Threats from Compromised Foundation Models to Federated Learning
Xi Li
Songhe Wang
Chen Henry Wu
Hao Zhou
Jiaqi Wang
386
18
0
31 Oct 2023
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