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Federated Learning with Non-IID Data

Federated Learning with Non-IID Data

2 June 2018
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with Non-IID Data"

50 / 409 papers shown
Title
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning
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
24
0
0
15 May 2025
A Taxonomy of Attacks and Defenses in Split Learning
A Taxonomy of Attacks and Defenses in Split Learning
Aqsa Shabbir
Halil Ibrahim Kanpak
Alptekin Küpçü
Sinem Sav
43
0
0
09 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
Ljubomir Rokvic
Panayiotis Danassis
Boi Faltings
FedML
43
0
0
05 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
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models
Communication-Efficient Wireless Federated Fine-Tuning for Large-Scale AI Models
Bumjun Kim
Wan Choi
34
0
0
01 May 2025
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees
Mohammad Vahid Jamali
Hamid Saber
J. Bae
FedML
39
0
0
30 Apr 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
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
Sarang S
Druva Dhakshinamoorthy
Aditya Shiva Sharma
Yuvraj Singh Bhadauria
Siddharth Chaitra Vivek
Arihant Bansal
Arnab K. Paul
FedML
34
0
0
26 Apr 2025
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
Xiaolu Chen
Chenghao Huang
Yanru Zhang
Hao Wang
76
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
63
20
0
20 Apr 2025
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations
Mahshad Lotfinia
Arash Tayebiarasteh
Samaneh Samiei
Mehdi Joodaki
Soroosh Tayebi Arasteh
35
0
0
11 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss
Hengrui Hu
Anai N. Kothari
Anjishnu Banerjee
FedML
38
0
0
06 Apr 2025
Approximate Agreement Algorithms for Byzantine Collaborative Learning
Approximate Agreement Algorithms for Byzantine Collaborative Learning
Tijana Milentijević
Mélanie Cambus
Darya Melnyk
Stefan Schmid
FedML
52
0
0
02 Apr 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models
Y. Cai
Ziqi Zhang
Ding Li
Yao Guo
Xiangqun Chen
55
0
0
13 Mar 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo
Dong-Jun Han
Jaejun Yoo
45
0
0
11 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
108
0
0
09 Mar 2025
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT
Adaptive UAV-Assisted Hierarchical Federated Learning: Optimizing Energy, Latency, and Resilience for Dynamic Smart IoT
Xiaohong Yang
Minghui Liwang
Liqun Fu
Yuhan Su
Seyyedali Hosseinalipour
Xianbin Wang
Yiguang Hong
54
0
0
08 Mar 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Zehan Li
Yubo Yang
Tao Yang
X. Wu
Ziyu Guo
Bo Hu
64
0
0
03 Mar 2025
Contrastive Federated Learning with Tabular Data Silos
Contrastive Federated Learning with Tabular Data Silos
Achmad Ginanjar
Xue Li
Wen Hua
Jiaming Pei
FedML
79
2
0
17 Feb 2025
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Furkan Bagci
Busra Tegin
M. Kazemi
T. Duman
38
0
0
30 Jan 2025
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization
Kevin Cooper
Michael Geller
93
0
0
30 Jan 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution
Norrathep Rattanavipanon
Ivan de Oliviera Nunes
86
0
0
28 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
Mehdi Ben Ghali
Reda Bellafqira
Gouenou Coatrieux
AAML
FedML
48
0
0
21 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
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
75
0
0
21 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
54
0
0
15 Jan 2025
Aggregating Low Rank Adapters in Federated Fine-tuning
Aggregating Low Rank Adapters in Federated Fine-tuning
Evelyn Trautmann
Ian Hales
Martin F. Volk
AI4CE
FedML
39
0
0
10 Jan 2025
Disentangling data distribution for Federated Learning
Disentangling data distribution for Federated Learning
Xinyuan Zhao
Hanlin Gu
Lixin Fan
Qiang Yang
Yuxing Han
OOD
FedML
44
0
0
31 Dec 2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
Weihang Chen
Jie Ren
Zhiqiang Li
Ling Gao
Zehao Wang
AI4CE
120
0
0
10 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
101
1
0
26 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Masked Autoencoders are Parameter-Efficient Federated Continual Learners
Yuchen He
Xiangfeng Wang
CLL
FedML
40
0
0
04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning
  Framework
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
Yuchen He
Chuyun Shen
Xiangfeng Wang
Bo Jin
FedML
32
1
0
04 Nov 2024
FedReMa: Improving Personalized Federated Learning via Leveraging the
  Most Relevant Clients
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients
Han Liang
Ziwei Zhan
Weijie Liu
Xiaoxi Zhang
Chee Wei Tan
Xu Chen
FedML
33
0
0
04 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
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
Jong-Ik Park
Srinivasa Pranav
J. M. F. Moura
Carlee Joe-Wong
AI4CE
79
2
0
24 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedML
MoMe
CLL
39
2
0
23 Oct 2024
Influence-oriented Personalized Federated Learning
Influence-oriented Personalized Federated Learning
Yue Tan
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
31
0
0
04 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
10
0
02 Oct 2024
Balancing Label Imbalance in Federated Environments Using Only Mixup and
  Artificially-Labeled Noise
Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise
Kyle Rui Sang
Tahseen Rabbani
Furong Huang
FedML
36
0
0
20 Sep 2024
Privacy-preserving federated prediction of pain intensity change based
  on multi-center survey data
Privacy-preserving federated prediction of pain intensity change based on multi-center survey data
Supratim Das
Mahdie Rafie
Paula Kammer
S. Skou
D. T. Grønne
...
Hans-Helmut Konig
Md Shihab Ullaha
Niklas Probul
Jan Baumbacha
L. Baumbach
OOD
FedML
43
0
0
12 Sep 2024
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
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
Jiahao Lai
J. Li
Jian Xu
Yanru Wu
Boshi Tang
Siqi Chen
Yongfeng Huang
Wenbo Ding
Yang Li
FedML
73
0
0
09 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
Buffer-based Gradient Projection for Continual Federated Learning
Shenghong Dai
Jy-yong Sohn
Yicong Chen
S. Alam
Ravikumar Balakrishnan
Suman Banerjee
N. Himayat
Kangwook Lee
FedML
75
2
0
03 Sep 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
40
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
60
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
52
0
0
23 Jul 2024
Resource-Efficient Federated Multimodal Learning via Layer-wise and
  Progressive Training
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training
Ye Lin Tun
Chu Myaet Thwal
Minh N. H. Nguyen
Choong Seon Hong
48
0
0
22 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
63
1
0
13 Jul 2024
Personalized federated learning based on feature fusion
Personalized federated learning based on feature fusion
Wolong Xing
Zhenkui Shi
Hongyan Peng
Xiantao Hu
Xianxian Li
FedML
39
0
0
24 Jun 2024
Regularizing and Aggregating Clients with Class Distribution for
  Personalized Federated Learning
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning
Gyuejeong Lee
Daeyoung Choi
51
0
0
12 Jun 2024
A deep cut into Split Federated Self-supervised Learning
A deep cut into Split Federated Self-supervised Learning
Marcin Przewiȩźlikowski
Marcin Osial
Bartosz Zieliñski
Marek 'Smieja
FedML
40
0
0
12 Jun 2024
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