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Federated Learning: Challenges, Methods, and Future Directions

Federated Learning: Challenges, Methods, and Future Directions

21 August 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
    FedML
ArXivPDFHTML

Papers citing "Federated Learning: Challenges, Methods, and Future Directions"

50 / 591 papers shown
Title
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
39
0
0
10 Sep 2024
Constructing Adversarial Examples for Vertical Federated Learning:
  Optimal Client Corruption through Multi-Armed Bandit
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
Duanyi Yao
Songze Li
Ye Xue
Jin Liu
FedML
AAML
27
1
0
08 Aug 2024
Federated Learning as a Service for Hierarchical Edge Networks with
  Heterogeneous Models
Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
Wentao Gao
Omid Tavallaie
Shuaijun Chen
Albert Zomaya
FedML
30
3
0
30 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
49
1
0
25 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization,
  Robustness, and Fairness
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Yuan Yao
Zhiyong Peng
49
0
0
23 Jul 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in
  Federated Learning
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning
Yuxin Yang
Qiang Li
Chenfei Nie
Yuan Hong
Meng Pang
Binghui Wang
AAML
FedML
39
1
0
21 Jul 2024
Federated Learning and AI Regulation in the European Union: Who is
  Responsible? -- An Interdisciplinary Analysis
Federated Learning and AI Regulation in the European Union: Who is Responsible? -- An Interdisciplinary Analysis
Herbert Woisetschläger
Simon Mertel
Christoph Krönke
R. Mayer
Hans-Arno Jacobsen
FedML
38
2
0
11 Jul 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
49
18
0
08 Jul 2024
Federated Learning with Flexible Architectures
Federated Learning with Flexible Architectures
Jong-Ik Park
Carlee Joe-Wong
FedML
45
3
0
14 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and
  Challenges
Towards Federated Domain Unlearning: Verification Methodologies and Challenges
Kahou Tam
Kewei Xu
Li Li
Huazhu Fu
MU
40
1
0
05 Jun 2024
Fair Federated Learning under Domain Skew with Local Consistency and
  Domain Diversity
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen
Wenke Huang
Mang Ye
FedML
46
16
0
26 May 2024
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings
Madison Threadgill
A. Gerstlauer
43
1
0
23 May 2024
Distributed Event-Based Learning via ADMM
Distributed Event-Based Learning via ADMM
Güner Dilsad Er
Sebastian Trimpe
Michael Muehlebach
FedML
44
2
0
17 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for
  Federated Learning
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning
Yanli Li
Jehad Ibrahim
Huaming Chen
Dong Yuan
Kim-Kwang Raymond Choo
32
0
0
03 May 2024
Causal Influence in Federated Edge Inference
Causal Influence in Federated Edge Inference
Mert Kayaalp
Yunus Inan
V. Koivunen
Ali H. Sayed
FedML
33
1
0
02 May 2024
Decentralized Personalized Federated Learning based on a Conditional
  Sparse-to-Sparser Scheme
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme
Qianyu Long
Qiyuan Wang
Christos Anagnostopoulos
Daning Bi
FedML
28
0
0
24 Apr 2024
Collaborative Visual Place Recognition through Federated Learning
Collaborative Visual Place Recognition through Federated Learning
Mattia Dutto
Gabriele Berton
Debora Caldarola
Eros Fani
Gabriele Trivigno
Carlo Masone
FedML
32
1
0
20 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning
On the Efficiency of Privacy Attacks in Federated Learning
Nawrin Tabassum
Ka-Ho Chow
Xuyu Wang
Wenbin Zhang
Yanzhao Wu
FedML
37
1
0
15 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of
  Parameters for Fine-Tuning
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
33
6
0
03 Apr 2024
Federated Multi-Agent Mapping for Planetary Exploration
Federated Multi-Agent Mapping for Planetary Exploration
Tiberiu-Ioan Szatmari
Abhishek Cauligi
FedML
AI4CE
42
0
0
02 Apr 2024
Distributed Swarm Learning for Edge Internet of Things
Distributed Swarm Learning for Edge Internet of Things
Yue Wang
Zhi Tian
FXin Fan
Zhipeng Cai
Cameron Nowzari
Kai Zeng
24
2
0
29 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
Ziru Niu
Hai Dong
•. A. K. Qin
34
2
0
18 Mar 2024
Metadata-Driven Federated Learning of Connectional Brain Templates in
  Non-IID Multi-Domain Scenarios
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
Geng Chen
Qingyue Wang
I. Rekik
30
0
0
14 Mar 2024
Taming Cross-Domain Representation Variance in Federated Prototype
  Learning with Heterogeneous Data Domains
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
Lei Wang
Jieming Bian
Letian Zhang
Cheng Chen
Jie Xu
34
7
0
14 Mar 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat
A. Maranjyan
Peter Richtárik
44
3
0
07 Mar 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Yongcun Song
Ziqi Wang
Enrique Zuazua
FedML
35
2
0
21 Feb 2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Elissa Mhanna
Mohamad Assaad
46
1
0
30 Jan 2024
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality
Cross-Modal Prototype based Multimodal Federated Learning under Severely Missing Modality
Huy Q. Le
Chu Myaet Thwal
Yu Qiao
Ye Lin Tun
Minh N. H. Nguyen
Choong Seon Hong
Choong Seon Hong
65
4
0
25 Jan 2024
Attention on Personalized Clinical Decision Support System: Federated
  Learning Approach
Attention on Personalized Clinical Decision Support System: Federated Learning Approach
Chu Myaet Thwal
K. Thar
Ye Lin Tun
Choong Seon Hong
16
22
0
22 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Chu Myaet Thwal
Minh N. H. Nguyen
Ye Lin Tun
Seongjin Kim
My T. Thai
Choong Seon Hong
61
5
0
22 Jan 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach
Mahrokh Ghoddousi Boroujeni
Andreas Krause
Giancarlo Ferrari-Trecate
FedML
32
3
0
16 Jan 2024
Correlated Quantization for Faster Nonconvex Distributed Optimization
Correlated Quantization for Faster Nonconvex Distributed Optimization
Andrei Panferov
Yury Demidovich
Ahmad Rammal
Peter Richtárik
MQ
44
4
0
10 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
33
31
0
27 Dec 2023
Harnessing the Power of Federated Learning in Federated Contextual
  Bandits
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
21
0
0
26 Dec 2023
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
Resource-Limited Automated Ki67 Index Estimation in Breast Cancer
J. Gliozzo
Giosuè Cataldo Marinò
A. Bonometti
Marco Frasca
Dario Malchiodi
21
0
0
22 Dec 2023
Initializing Services in Interactive ML Systems for Diverse Users
Initializing Services in Interactive ML Systems for Diverse Users
Avinandan Bose
Mihaela Curmei
Daniel L. Jiang
Jamie Morgenstern
Sarah Dean
Lillian J. Ratliff
Maryam Fazel
21
5
0
19 Dec 2023
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A
  Unified Framework for Privacy-Preserving Distributed Average Consensus
Adaptive Differentially Quantized Subspace Perturbation (ADQSP): A Unified Framework for Privacy-Preserving Distributed Average Consensus
Qiongxiu Li
Jaron Skovsted Gundersen
Milan Lopuhaä-Zwakenberg
Richard Heusdens
15
11
0
13 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
  Insights
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
30
7
0
07 Dec 2023
Towards Fast and Stable Federated Learning: Confronting Heterogeneity
  via Knowledge Anchor
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor
Jinqian Chen
Jihua Zhu
Qinghai Zheng
38
3
0
05 Dec 2023
A Blockchain Solution for Collaborative Machine Learning over IoT
A Blockchain Solution for Collaborative Machine Learning over IoT
Carlos Beis-Penedo
Francisco Troncoso-Pastoriza
R. Redondo
Ana Fernández Vilas
M. Fernández-Veiga
Martín González Soto
19
0
0
23 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
40
0
0
21 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
20
0
0
09 Nov 2023
Decentralized Personalized Online Federated Learning
Decentralized Personalized Online Federated Learning
Renzhi Wu
Saayan Mitra
Xiang Chen
Anup Rao
FedML
29
2
0
08 Nov 2023
Blind Federated Learning via Over-the-Air q-QAM
Blind Federated Learning via Over-the-Air q-QAM
Saeed Razavikia
José Hélio da Cruz Júnior
Carlo Fischione
37
4
0
07 Nov 2023
Federated Learning on Edge Sensing Devices: A Review
Federated Learning on Edge Sensing Devices: A Review
Berrenur Saylam
Ozlem Durmaz Incel
31
1
0
02 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain
  Generalization
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
Jun-Gyu Park
Dong-Jun Han
Jinho Kim
Shiqiang Wang
Christopher G. Brinton
Jaekyun Moon
OOD
FedML
37
15
0
01 Nov 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
Zhirui Pan
Guangzhong Wang
Zhaoning Li
Lifeng Chen
Yang Bian
Zhongyuan Lai
FedML
27
2
0
12 Oct 2023
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental
  Regularization
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization
Qianyu Long
Christos Anagnostopoulos
S. P. Parambath
Daning Bi
AI4CE
FedML
23
2
0
13 Sep 2023
Adaptive Model Pruning and Personalization for Federated Learning over
  Wireless Networks
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
Xiaonan Liu
T. Ratnarajah
M. Sellathurai
Yonina C. Eldar
32
4
0
04 Sep 2023
Protect Federated Learning Against Backdoor Attacks via Data-Free
  Trigger Generation
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation
Yanxin Yang
Ming Hu
Yue Cao
Jun Xia
Yihao Huang
Yang Liu
Mingsong Chen
FedML
29
6
0
22 Aug 2023
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