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. 2004.11791
  4. Cited By
Federated learning with hierarchical clustering of local updates to
  improve training on non-IID data

Federated learning with hierarchical clustering of local updates to improve training on non-IID data

24 April 2020
Christopher Briggs
Zhong Fan
Péter András
    FedML
ArXivPDFHTML

Papers citing "Federated learning with hierarchical clustering of local updates to improve training on non-IID data"

50 / 125 papers shown
Title
Topology-Aware Knowledge Propagation in Decentralized Learning
Topology-Aware Knowledge Propagation in Decentralized Learning
Mansi Sakarvadia
Nathaniel Hudson
Tian Li
Ian Foster
Kyle Chard
9
0
0
16 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
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
Hui Yeok Wong
Chee Kau Lim
Chee Seng Chan
FedML
49
0
0
18 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
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control
Yongjie Fu
Lingyun Zhong
Zifan Li
Xuan Di
21
0
0
07 Apr 2025
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices
Yunlong Mao
Mingyang Niu
Ziqin Dang
Chengxi Li
Hanning Xia
Yuejuan Zhu
Haoyu Bian
Yuan Zhang
Jingyu Hua
Sheng Zhong
FedML
57
0
0
19 Mar 2025
One-Shot Clustering for Federated Learning
One-Shot Clustering for Federated Learning
Maciej Krzysztof Zuziak
Roberto Pellungrini
Salvatore Rinzivillo
FedML
92
0
0
06 Mar 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
Zhibo Tian
Ruijie Quan
Fan Ma
Kun Zhan
Yi Yang
36
1
0
24 Jan 2025
Federated Source-free Domain Adaptation for Classification: Weighted
  Cluster Aggregation for Unlabeled Data
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
Junki Mori
Kosuke Kihara
Taiki Miyagawa
Akinori F. Ebihara
Isamu Teranishi
Hisashi Kashima
85
1
0
18 Dec 2024
Towards Adaptive Asynchronous Federated Learning for Human Activity
  Recognition
Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition
Rastko Gajanin
Anastasiya Danilenka
Andrea Morichetta
Stefan Nastic
110
2
0
21 Nov 2024
FedSub: Introducing class-aware Subnetworks Fusion to Enhance
  Personalized Federated Learning in Ubiquitous Systems
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems
M. Campana
Franca Delmastro
29
0
0
13 Nov 2024
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For
  Autonomous Visual Robot Navigation
Fed-EC: Bandwidth-Efficient Clustering-Based Federated Learning For Autonomous Visual Robot Navigation
Shreya Gummadi
M. V. Gasparino
Deepak Vasisht
Girish Chowdhary
FedML
37
1
0
06 Nov 2024
Co-clustering for Federated Recommender System
Co-clustering for Federated Recommender System
Xinrui He
Shuo Liu
J. Keung
Jingrui He
FedML
52
203
0
03 Nov 2024
Space for Improvement: Navigating the Design Space for Federated
  Learning in Satellite Constellations
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations
Grace Kim
Luca Powell
F. Svoboda
Nicholas D. Lane
FedML
26
0
0
31 Oct 2024
ProFL: Performative Robust Optimal Federated Learning
ProFL: Performative Robust Optimal Federated Learning
Xue Zheng
Tian Xie
Xuwei Tan
Aylin Yener
Xueru Zhang
Ali Payani
Myungjin Lee
FedML
35
0
0
23 Oct 2024
A Bayesian Framework for Clustered Federated Learning
A Bayesian Framework for Clustered Federated Learning
Peng Wu
Tales Imbiriba
Pau Closas
FedML
53
0
0
20 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
Boning Zhang
Dongzhu Liu
Osvaldo Simeone
Guanchu Wang
Dimitrios Pezaros
Guangxu Zhu
BDL
FedML
38
0
0
18 Oct 2024
Comparative Evaluation of Clustered Federated Learning Methods
Comparative Evaluation of Clustered Federated Learning Methods
Michael Ben Ali
Omar El-Rifai
Imen Megdiche
André Peninou
Olivier Teste
FedML
35
0
0
18 Oct 2024
FedCAP: Robust Federated Learning via Customized Aggregation and
  Personalization
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
Youpeng Li
Xuben Wang
Fuxun Yu
Lichao Sun
Wenbin Zhang
Xuyu Wang
FedML
103
0
0
16 Oct 2024
Improving accuracy and convergence of federated learning edge computing
  methods for generalized DER forecasting applications in power grid
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid
V. J. Nair
Lucas Pereira
AI4CE
25
0
0
13 Oct 2024
Advances in Privacy Preserving Federated Learning to Realize a Truly
  Learning Healthcare System
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
Ravi K. Madduri
Zilinghan Li
Tarak Nandi
Kibaek Kim
Minseok Ryu
Alex Rodriguez
35
1
0
29 Sep 2024
Evolving Topics in Federated Learning: Trends, and Emerging Directions
  for IS
Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS
Md Raihan Uddin
Gauri Shankar
Saddam Hossain Mukta
Prabhat Kumar
Najmul Islam
FedML
36
0
0
24 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
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
41
0
0
05 Sep 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID
  Datasets
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
Xingrun Yan
Shiyuan Zuo
Rongfei Fan
Han Hu
Li Shen
Puning Zhao
Yong Luo
FedML
55
0
0
19 Aug 2024
Seamless Integration: Sampling Strategies in Federated Learning Systems
Seamless Integration: Sampling Strategies in Federated Learning Systems
T. Legler
Vinit Hegiste
Martin Ruskowski
FedML
41
1
0
18 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification
  with Personalization
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization
Shunxin Guo
Hongsong Wang
Shuxia Lin
Zhiqiang Kou
Xin Geng
FedML
38
1
0
15 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
40
3
0
30 Jul 2024
Enhancing Group Fairness in Federated Learning through Personalization
Enhancing Group Fairness in Federated Learning through Personalization
Yifan Yang
Ali Payani
Parinaz Naghizadeh Ardabili
FedML
40
0
0
27 Jul 2024
FedAR: Addressing Client Unavailability in Federated Learning with Local
  Update Approximation and Rectification
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification
Chutian Jiang
Hansong Zhou
Xiaonan Zhang
Shayok Chakraborty
FedML
51
1
0
26 Jul 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive
  Learning and Deep Clustering
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering
Ensieh Khazaei
Alireza Esmaeilzehi
Bilal Taha
Dimitrios Hatzinakos
FedML
28
1
0
17 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in
  Federated Learning
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning
Ning Wang
Shanghao Shi
Yang Xiao
Yimin Chen
Y. T. Hou
W. Lou
FedML
AAML
45
1
0
12 Jul 2024
Combining Federated Learning and Control: A Survey
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedML
AI4CE
36
2
0
12 Jul 2024
FedClust: Tackling Data Heterogeneity in Federated Learning through
  Weight-Driven Client Clustering
FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering
Md Sirajul Islam
Simin Javaherian
Fei Xu
Xu Yuan
Li Chen
Nian-Feng Tzeng
FedML
38
3
0
09 Jul 2024
Communication-Efficient Federated Knowledge Graph Embedding with
  Entity-Wise Top-K Sparsification
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification
Xiaoxiong Zhang
Zhiwei Zeng
Xin Zhou
Dusit Niyato
Zhiqi Shen
FedML
47
1
0
19 Jun 2024
Personalized Federated Knowledge Graph Embedding with Client-Wise
  Relation Graph
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph
Xiaoxiong Zhang
Zhiwei Zeng
Xin Zhou
Dusit Niyato
Zhiqi Shen
FedML
68
3
0
17 Jun 2024
FDLoRA: Personalized Federated Learning of Large Language Model via Dual
  LoRA Tuning
FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning
Jiaxing Qi
Zhongzhi Luan
Shaohan Huang
Carol J. Fung
Hailong Yang
Depei Qian
32
13
0
12 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
Non-Federated Multi-Task Split Learning for Heterogeneous Sources
Non-Federated Multi-Task Split Learning for Heterogeneous Sources
Yilin Zheng
A. Eryilmaz
FedML
41
0
0
31 May 2024
Exploring the Practicality of Federated Learning: A Survey Towards the
  Communication Perspective
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
Khiem H. Le
Nhan Luong-Ha
Manh Nguyen-Duc
Danh Le-Phuoc
Cuong D. Do
Kok-Seng Wong
FedML
37
1
0
30 May 2024
P4: Towards private, personalized, and Peer-to-Peer learning
P4: Towards private, personalized, and Peer-to-Peer learning
Mohammad Maheri
S. Siby
Sina Abdollahi
Anastasia Borovykh
Hamed Haddadi
26
0
0
27 May 2024
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
Shutong Chen
Tianyi Zhou
Guodong Long
Jie Ma
Jing Jiang
Chengqi Zhang
FedML
51
1
0
26 May 2024
Federated Behavioural Planes: Explaining the Evolution of Client
  Behaviour in Federated Learning
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio
Gabriele Dominici
Pietro Barbiero
Alberto Tonda
M. Gjoreski
Marc Langheinrich
FedML
34
0
0
24 May 2024
Towards Client Driven Federated Learning
Towards Client Driven Federated Learning
Songze Li
Chenqing Zhu
FedML
46
0
0
24 May 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
Worldwide Federated Training of Language Models
Worldwide Federated Training of Language Models
Alexandru Iacob
Lorenzo Sani
Bill Marino
Preslav Aleksandrov
William F. Shen
Nicholas D. Lane
FedML
35
2
0
23 May 2024
Multi-level Personalized Federated Learning on Heterogeneous and
  Long-Tailed Data
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
43
12
0
10 May 2024
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank,
  Task-Specific Adapter Clustering
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
Siqi Ping
Yuzhu Mao
Yang Liu
Xiao-Ping Zhang
Wenbo Ding
FedML
31
4
0
23 Apr 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with
  Decentralized Federated Learning
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne
Kaiwen Zhang
Talhi Chamseddine
FedML
34
0
0
20 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
123
Next