ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.06335
  4. Cited By
Measuring the Effects of Non-Identical Data Distribution for Federated
  Visual Classification

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

13 September 2019
T. Hsu
Qi
Matthew Brown
    FedML
ArXivPDFHTML

Papers citing "Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"

50 / 209 papers shown
Title
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules
Michail Theologitis
V. Samoladas
Antonios Deligiannakis
31
0
0
07 May 2025
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
Jiacheng Wang
Le Liang
Hao Ye
Chongtao Guo
Shi Jin
42
0
0
06 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
38
0
0
05 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
53
0
0
03 May 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
FedMerge: Federated Personalization via Model Merging
FedMerge: Federated Personalization via Model Merging
Shutong Chen
Tianyi Zhou
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
MoMe
49
0
0
09 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
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible
Chaoyi Lu
Yiding Sun
Pengbo Li
Zhichuan Yang
FedML
34
0
0
05 Apr 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
Jacopo Talpini
Marco Savi
Giovanni Neglia
FedML
Presented at ResearchTrend Connect | FedML on 07 May 2025
76
0
0
19 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
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
Kasra Borazjani
Payam Abdisarabshali
Naji Khosravan
Seyyedali Hosseinalipour
FedML
36
1
0
17 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Jiahao Xu
Zikai Zhang
Rui Hu
AAML
FedML
Presented at ResearchTrend Connect | FedML on 28 Mar 2025
147
0
0
11 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
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
67
1
0
03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization
Jake B. Perazzone
Shiqiang Wang
Mingyue Ji
Kevin S. Chan
FedML
75
0
0
01 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
Leming Shen
Qiang Yang
Kaiyan Cui
Yuanqing Zheng
Xiao-Yong Wei
Jianwei Liu
Jinsong Han
FedML
69
11
0
28 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning
Jiayun Zhang
Shuheng Li
Haiyu Huang
Xiaofan Yu
Rajesh K. Gupta
Jingbo Shang
FedML
65
0
0
21 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
79
8
0
18 Feb 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data
Judith Sáinz-Pardo Díaz
Á. García
33
0
0
28 Jan 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with Teleportation
Yuki Takezawa
Sebastian U. Stich
58
1
0
25 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
45
0
0
21 Jan 2025
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
S. Chowdhury
Raju Halder
FedML
40
0
0
31 Dec 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Dun Zeng
Zheshun Wu
Shiyu Liu
Yu Pan
Xiaoying Tang
Zenglin Xu
MLT
FedML
89
1
0
25 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
Data Quality Control in Federated Instruction-tuning of Large Language Models
Data Quality Control in Federated Instruction-tuning of Large Language Models
Yaxin Du
Rui Ye
Fengting Yuchi
W. Zhao
Jingjing Qu
Yunhong Wang
Siheng Chen
ALM
FedML
51
0
0
15 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
Cheng Chen
Shandong Wu
FedML
VLM
MoE
52
3
0
14 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via
  Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODD
FedML
26
0
0
09 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation
  and Mutual Similarity Information
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
Emanuel Buttaci
Giuseppe Carlo Calafiore
FedML
27
0
0
07 Oct 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Zezhou Wang
Yaxin Du
Zhuzhong Qian
Yugang Jiang
Zhuzhong Qian
Siheng Chen
FedML
137
0
0
30 Sep 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
36
0
0
29 Sep 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun
Li Shen
Dacheng Tao
FedML
25
0
0
27 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
34
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
41
10
0
20 Sep 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for
  Dimensionality Reduction
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
Ziwei Li
Xiaoqi Wang
Hong-You Chen
Han-Wei Shen
Wei-Lun Chao
FedML
32
0
0
17 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
55
5
0
17 Sep 2024
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based
  Clustering
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
Rasoul Jafari Gohari
Laya Aliahmadipour
Ezat Valipour
FedML
32
0
0
16 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
36
0
0
10 Sep 2024
FedBrain-Distill: Communication-Efficient Federated Brain Tumor
  Classification Using Ensemble Knowledge Distillation on Non-IID Data
FedBrain-Distill: Communication-Efficient Federated Brain Tumor Classification Using Ensemble Knowledge Distillation on Non-IID Data
Rasoul Jafari Gohari
Laya Aliahmadipour
Ezat Valipour
FedML
31
0
0
09 Sep 2024
Wind turbine condition monitoring based on intra- and inter-farm
  federated learning
Wind turbine condition monitoring based on intra- and inter-farm federated learning
Albin Grataloup
Stefan Jonas
Angela Meyer
AI4CE
35
0
0
05 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
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
Alessio Mora
Lorenzo Valerio
Paolo Bellavista
A. Passarella
FedML
MU
46
2
0
14 Aug 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
Xiao Liu
Xiaoliu Guan
Yu Wu
Jiaxu Miao
42
7
0
22 Jul 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection
  in Internet of Vehicles
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
Cyprien Quéméneur
S. Cherkaoui
43
3
0
05 Jun 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning
Akash Dhasade
Anne-Marie Kermarrec
Tuan-Anh Nguyen
Rafael Pires
M. Vos
FedML
33
0
0
24 May 2024
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
Sakshi Choudhary
Sai Aparna Aketi
Kaushik Roy
FedML
45
0
0
22 May 2024
Employing Federated Learning for Training Autonomous HVAC Systems
Employing Federated Learning for Training Autonomous HVAC Systems
Fredrik Hagström
Vikas K. Garg
Fabricio Oliveira
AI4CE
64
0
0
01 May 2024
On the Impact of Data Heterogeneity in Federated Learning Environments
  with Application to Healthcare Networks
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
Usevalad Milasheuski
Bernardo Camajori Tedeschini
M. Nicoli
S. Savazzi
OOD
20
5
0
29 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
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son
M. Kim
Tai-Myung Chung
Chao Huang
Xin Liu
FedML
43
3
0
27 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang
Yonggang Zhang
S. Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
22
13
0
10 Feb 2024
12345
Next