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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 / 552 papers shown
Title
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Zengxia Guo
Bohui An
Zhongqi Lu
FedML
22
0
0
15 May 2025
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Chetan Pathade
Shubham Patil
26
0
0
12 May 2025
Adaptive Latent-Space Constraints in Personalized FL
Adaptive Latent-Space Constraints in Personalized FL
Sana Ayromlou
D. B. Emerson
FedML
49
0
0
12 May 2025
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy
Gleb Molodtsov
Daniil Medyakov
Sergey Skorik
Nikolas Khachaturov
Shahane Tigranyan
Vladimir Aletov
A. Avetisyan
Martin Takáč
Aleksandr Beznosikov
AAML
32
0
0
12 May 2025
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures
FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures
Jiacheng Wang
Hongtao Lv
Lei Liu
FedML
25
0
0
10 May 2025
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning
Linda Scheu-Hachtel
Jasmin Zalonis
41
0
0
09 May 2025
Balancing Client Participation in Federated Learning Using AoI
Balancing Client Participation in Federated Learning Using AoI
Alireza Javani
Zhiying Wang
48
0
0
08 May 2025
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks
Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks
M. S. HaghighiFard
Sinem Coleri
AAML
33
0
0
02 May 2025
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders
Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders
Xuwei Yang
Fatemeh Tavakoli
D. B. Emerson
Anastasis Kratsios
FedML
62
0
0
30 Apr 2025
Federated learning, ethics, and the double black box problem in medical AI
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
58
0
0
29 Apr 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
Zihan Chen
Xingbo Fu
Yushun Dong
Jundong Li
Cong Shen
FedML
69
0
0
29 Apr 2025
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Federated Out-of-Distribution Generalization: A Causal Augmentation View
Runhui Zhang
Sijin Zhou
Zhuang Qi
OOD
FedML
73
1
0
28 Apr 2025
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation
Kitsuya Azuma
Takayuki Nishio
Yuichi Kitagawa
Wakako Nakano
Takahito Tanimura
FedML
70
0
0
28 Apr 2025
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
Youngjoon Lee
J. Gong
Joonhyuk Kang
FedML
50
1
0
28 Apr 2025
Switch-Based Multi-Part Neural Network
Switch-Based Multi-Part Neural Network
Surajit Majumder
Paritosh Ranjan
Prodip Roy
Bhuban Padhan
OOD
74
0
0
25 Apr 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
Yuting He
Yiqiang Chen
Xiaodong Yang
H. Yu
Yi-Hua Huang
Yang Gu
FedML
55
20
0
20 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
38
0
0
12 Apr 2025
Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges
Diachronic and synchronic variation in the performance of adaptive machine learning systems: The ethical challenges
Joshua Hatherley
Robert Sparrow
32
11
0
11 Apr 2025
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis
Shahryar Zehtabi
Dong-Jun Han
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
AI4CE
45
0
0
08 Apr 2025
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
Ming-Lun Lee
Han-Chang Chou
Yan-AnnChen
FedML
34
6
0
07 Apr 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy
Haotian Yang
Z. Wang
Benson Chou
Sophie Xu
Hao Wang
Jingxian Wang
Qizhen Zhang
FedML
93
0
0
26 Mar 2025
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning
Bicheng Ying
Zhe Li
Haibo Yang
FedML
70
0
0
25 Mar 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi
Jinmeng Li
He Zhao
D. Guo
Yi Chang
FedML
47
0
0
19 Mar 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models
Y. Cai
Ziqi Zhang
Ding Li
Yao Guo
Xiangqun Chen
50
0
0
13 Mar 2025
Adaptive routing protocols for determining optimal paths in AI multi-agent systems: a priority- and learning-enhanced approach
Theodor Panayotov
Ivo Emanuilov
40
0
0
10 Mar 2025
Privacy Protection in Prosumer Energy Management Based on Federated Learning
Yunfeng Li
Xiaolin Li Zhitao Li
Gangqiang Li
FedML
53
3
0
09 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
97
0
0
09 Mar 2025
A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
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
36
0
0
17 Feb 2025
Privacy-Preserving Dataset Combination
Privacy-Preserving Dataset Combination
Keren Fuentes
Mimee Xu
Irene Chen
38
0
0
09 Feb 2025
Principles and Components of Federated Learning Architectures
Principles and Components of Federated Learning Architectures
S. Saif
Md Abdullah Al Nasim
Parag Biswas
Abdur Rashid
Md. Mahim Anjum Haque
Md. Zihad Bin Jahangir
Kishor Datta Gupta
FedML
59
1
0
07 Feb 2025
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Randomized Block-Coordinate Optimistic Gradient Algorithms for Root-Finding Problems
Quoc Tran-Dinh
Yang Luo
89
6
0
28 Jan 2025
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU
H. Roh
Jinsu Yeo
Yeongil Ko
Gu-Yeon Wei
David Brooks
Woo-Seok Choi
82
2
0
20 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott
Hossein Zakerinia
Christoph H. Lampert
FedML
92
7
0
17 Jan 2025
Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs
Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs
Amit Kumar Bhuyan
H. Dutta
S. Biswas
51
0
0
15 Jan 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
Phillip Rieger
Alessandro Pegoraro
Kavita Kumari
Tigist Abera
Jonathan Knauer
A. Sadeghi
AAML
48
2
0
11 Jan 2025
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Muhammad Irfan Khan
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
46
0
0
31 Dec 2024
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
Flint Xiaofeng Fan
Cheston Tan
Yew-Soon Ong
Roger Wattenhofer
Wei Tsang Ooi
85
1
0
20 Dec 2024
Evaluating the Potential of Federated Learning for Maize Leaf Disease
  Prediction
Evaluating the Potential of Federated Learning for Maize Leaf Disease Prediction
Thalita Mendonça Antico
Larissa F. Rodrigues Moreira
Rodrigo Moreira
103
24
0
10 Dec 2024
Federated Automated Feature Engineering
Federated Automated Feature Engineering
Tom Overman
Diego Klabjan
FedML
72
1
0
05 Dec 2024
SoK: Decentralized AI (DeAI)
SoK: Decentralized AI (DeAI)
Zhipeng Wang
Rui Sun
Elizabeth Lui
Vatsal Shah
Xihan Xiong
Jiahao Sun
Davide Crapis
William Knottenbelt
96
1
0
26 Nov 2024
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
Artificial Intelligence in Pediatric Echocardiography: Exploring Challenges, Opportunities, and Clinical Applications with Explainable AI and Federated Learning
M. Y. Jabarulla
T. Uden
Thomas Jack
P. Beerbaum
S. Oeltze-jafra
37
1
0
15 Nov 2024
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
Youngjoon Lee
J. Gong
Joonhyuk Kang
47
0
0
31 Oct 2024
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Posts
Mustofa Ahmed
Abdul Muntakim
Nawrin Tabassum
Mohammad Asifur Rahim
Faisal Muhammad Shah
FedML
26
0
0
17 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 Models
Jun Luo
C. L. P. Chen
Shandong Wu
FedML
VLM
MoE
52
3
0
14 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on
  Statistical Accuracy and Communication Efficiency
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency
Xin Yu
Zelin He
Ying Sun
Lingzhou Xue
Runze Li
FedML
26
0
0
11 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
44
8
0
02 Oct 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
Ye Li
Yanchao Zhao
Chengcheng Zhu
Jiale Zhang
AAML
34
0
0
29 Sep 2024
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
Jiaxing Li
Zihan Chen
Kai Fong Ernest Chong
Bikramjit Das
Tony Q. S. Quek
Howard H. Yang
32
0
0
23 Sep 2024
Federated Learning with Label-Masking Distillation
Federated Learning with Label-Masking Distillation
Jianghu Lu
Shikun Li
Kexin Bao
Pengju Wang
Zhenxing Qian
Shiming Ge
FedML
39
10
0
20 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
52
5
0
17 Sep 2024
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