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FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model
  Extraction
v1v2 (latest)

FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction

Neural Information Processing Systems (NeurIPS), 2022
3 December 2022
Samiul Alam
Luyang Liu
Ming Yan
Mi Zhang
ArXiv (abs)PDFHTMLGithub (61★)

Papers citing "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction"

50 / 93 papers shown
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part B: Stochastic Stability in Weakly Acyclic Games
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part B: Stochastic Stability in Weakly Acyclic GamesEuropean Control Conference (ECC), 2018
Georgios C. Chasparis
122
0
0
23 Nov 2025
On the Convergence and Stability of Distributed Sub-model Training
On the Convergence and Stability of Distributed Sub-model Training
Yuyang Deng
Fuli Qiao
M. Mahdavi
FedML
217
0
0
08 Nov 2025
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management
FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor ManagementACM International Conference on Embedded Networked Sensor Systems (SenSys), 2024
Kahou Tam
Chunlin Tian
Li Li
Haikai Zhao
Chengzhong Xu
FedML
198
6
0
13 Oct 2025
FedEL: Federated Elastic Learning for Heterogeneous Devices
FedEL: Federated Elastic Learning for Heterogeneous Devices
Letian Zhang
Bo Chen
Jieming Bian
Lei Wang
Jie Xu
FedML
136
0
0
21 Sep 2025
PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device Constraints
PracMHBench: Re-evaluating Model-Heterogeneous Federated Learning Based on Practical Edge Device ConstraintsDesign Automation Conference (DAC), 2025
Yuanchun Guo
Bingyan Liu
Yulong Sha
Zhensheng Xian
191
0
0
04 Sep 2025
Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
Keumseo Ryum
J. Gong
Joonhyuk Kang
FedML
170
0
0
12 Aug 2025
Heterogeneity-Oblivious Robust Federated Learning
Heterogeneity-Oblivious Robust Federated Learning
Weiyao Zhang
Jinyang Li
Qi Song
Miao Wang
Chungang Lin
Haitong Luo
Xuying Meng
Yujun Zhang
AAML
236
0
0
05 Aug 2025
Boosting Generalization Performance in Model-Heterogeneous Federated Learning Using Variational Transposed Convolution
Boosting Generalization Performance in Model-Heterogeneous Federated Learning Using Variational Transposed Convolution
Ziru Niu
Hai Dong
•. A. K. Qin
FedML
215
0
0
03 Aug 2025
Hypernetworks for Model-Heterogeneous Personalized Federated Learning
Hypernetworks for Model-Heterogeneous Personalized Federated Learning
Chen Zhang
Husheng Li
Xiang Liu
Linshan Jiang
Danxin Wang
FedML
150
0
0
30 Jul 2025
Model Parallelism With Subnetwork Data Parallelism
Model Parallelism With Subnetwork Data Parallelism
Vaibhav Singh
Zafir Khalid
Edouard Oyallon
Eugene Belilovsky
322
2
0
11 Jul 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments
Junming Liu
Yanting Gao
Siyuan Meng
Yifei Sun
Aoqi Wu
Yufei Jin
Yirong Chen
Botian Shi
Guosun Zeng
268
2
0
26 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Zhu Han
Choong Seon Hong
AI4CE
401
5
0
11 May 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Chaoyue Niu
Yucheng Ding
Junhui Lu
Zhengxiang Huang
Hang Zeng
Yutong Dai
Xuezhen Tu
Chengfei Lv
Fan Wu
Guihai Chen
337
2
0
17 Apr 2025
Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey
Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey
Fabrizio Mangione
Claudio Savaglio
Giancarlo Fortino
259
6
0
10 Apr 2025
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power ControlIEEE Transactions on Mobile Computing (IEEE TMC), 2025
Jinhao Ouyang
Yuan Liu
Hang Liu
208
1
0
02 Apr 2025
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
Di Wu
Weibo He
Wanglei Feng
Z. Wen
Bin Qian
Blesson Varghese
192
0
0
01 Apr 2025
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogeneous Federated Learning
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogeneous Federated Learning
Jihyun Lim
Junhyuk Jo
Tuo Zhang
Salman Avestimehr
FedML
266
1
0
14 Mar 2025
HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast
Yiting Zheng
Bohan Lin
Jinqian Chen
Jihua Zhu
FedML
204
0
0
09 Mar 2025
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
Grzegorz Skorupko
Fotios Avgoustidis
Carlos Martín-Isla
Lidia Garrucho
Dimitri A. Kessler
...
Xavier Bargalló
Paulius Jaruševičius
Richard Osuala
Kaisar Kushibar
Karim Lekadir
FedML
538
0
0
04 Mar 2025
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated ClientsACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2024
Leming Shen
Qiang Yang
Kaiyan Cui
Yuanqing Zheng
Xiao-Yong Wei
Jianwei Liu
Jinsong Han
FedML
500
27
0
28 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning
Jiayun Zhang
Shuheng Li
Haiyu Huang
Xiaofan Yu
Rajesh K. Gupta
Jingbo Shang
FedML
281
1
0
21 Feb 2025
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
Mohamed Aboelenien Ahmed
Kilian Pfeiffer
R. Khalili
Heba Khdr
J. Henkel
FedML
529
0
0
14 Feb 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
Dezhong Yao
Yuexin Shi
Tongtong Liu
Zhiqiang Xu
276
3
0
12 Feb 2025
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Ke Xu
Quyang Pan
Bo Gao
Tian Wen
FedML
256
3
0
03 Jan 2025
Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data SelectionIEEE International Conference on Distributed Computing Systems (ICDCS), 2024
Hongrui Shi
Valentin Radu
Po Yang
FedML
202
1
0
03 Jan 2025
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning
  for Edge Devices
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge DevicesNeural Information Processing Systems (NeurIPS), 2024
Yongzhe Jia
Xuyun Zhang
Hongsheng Hu
K. Choo
Lianyong Qi
Xiaolong Xu
Amin Beheshti
Wanchun Dou
MoMeFedML
294
6
0
08 Dec 2024
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices
Kilian Pfeiffer
Mohamed Aboelenien Ahmed
R. Khalili
J. Henkel
302
1
0
12 Nov 2024
On Sampling Strategies for Spectral Model Sharding
On Sampling Strategies for Spectral Model ShardingNeural Information Processing Systems (NeurIPS), 2024
Denis Korzhenkov
Christos Louizos
FedML
262
0
0
31 Oct 2024
LEGO: Language Model Building Blocks
LEGO: Language Model Building Blocks
Shrenik Bhansali
Alwin Jin
Tyler Lizzo
Larry Heck
173
0
0
23 Oct 2024
Why Go Full? Elevating Federated Learning Through Partial Network
  Updates
Why Go Full? Elevating Federated Learning Through Partial Network UpdatesNeural Information Processing Systems (NeurIPS), 2024
Haolin Wang
Xuefeng Liu
Jianwei Niu
Wenkai Guo
Shaojie Tang
FedML
435
3
0
15 Oct 2024
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients
Yan Li
Xiao Zhang
Mingyi Li
Guangwei Xu
Feng Chen
Yuan Yuan
Yifei Zou
Mengying Zhao
Jianbo Lu
Dongxiao Yu
223
2
0
11 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
435
1
0
03 Oct 2024
Towards Diverse Device Heterogeneous Federated Learning via Task
  Arithmetic Knowledge Integration
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge IntegrationNeural Information Processing Systems (NeurIPS), 2024
Mahdi Morafah
Vyacheslav Kungurtsev
Hojin Chang
Chong Chen
Bill Lin
FedML
282
9
0
27 Sep 2024
Exploring System-Heterogeneous Federated Learning with Dynamic Model
  Selection
Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection
Dixi Yao
FedML
214
2
0
13 Sep 2024
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot
  Federated Learning
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated LearningIndustrial Conference on Data Mining (IDM), 2024
Kangyang Luo
Shuai Wang
Y. Fu
Renrong Shao
Xiang Li
Yunshi Lan
Ming Gao
Jinlong Shu
FedML
315
4
0
12 Sep 2024
FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning
FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning
Minxue Tang
Yitu Wang
Jingyang Zhang
Louis DiValentin
Aolin Ding
Amin Hass
Yiran Chen
Hai "Helen" Li
FedMLAAML
215
0
0
12 Sep 2024
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive
  Training
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training
Yebo Wu
Li Li
Chunlin Tian
Dubing Chen
Chengzhong Xu
FedML
323
5
0
20 Aug 2024
Addressing Heterogeneity in Federated Learning: Challenges and Solutions
  for a Shared Production Environment
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production EnvironmentIEEE International Symposium on Multimedia (ISM), 2024
T. Legler
Vinit Hegiste
Ahmed Anwar
Martin Ruskowski
197
8
0
18 Aug 2024
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware
  Submodel Extraction
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel ExtractionNeural Information Processing Systems (NeurIPS), 2024
Feijie Wu
Xingchen Wang
Yaqing Wang
Tianci Liu
Lu Su
Jing Gao
FedML
309
23
0
28 Jul 2024
FedTSA: A Cluster-based Two-Stage Aggregation Method for
  Model-heterogeneous Federated Learning
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
Boyu Fan
Chenrui Wu
Xiang Su
Pan Hui
FedML
335
4
0
06 Jul 2024
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained
  Machines to Collaboratively Train Larger Models
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models
Jin Xie
Songze Li
FedML
201
0
0
04 Jul 2024
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based
  Asymmetrical Reciprocity Learning
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
Yuan Liu
Chenxu Zhao
Lingjuan Lyu
Quanzeng You
Mengdi Huai
Fenglong Ma
FedML
300
10
0
03 Jul 2024
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
Jiaxiang Geng
Boyu Li
Xiaoqi Qin
Yixuan Li
Liang Li
Yanzhao Hou
Miao Pan
FedML
437
0
0
01 Jul 2024
Federated Model Heterogeneous Matryoshka Representation Learning
Federated Model Heterogeneous Matryoshka Representation Learning
Liping Yi
Han Yu
Chao Ren
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
FedML
335
16
0
01 Jun 2024
Selective Knowledge Sharing for Personalized Federated Learning Under
  Capacity Heterogeneity
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity
Zheng Wang
Zheng Wang
Zhaopeng Peng
Zihui Wang
Cheng-i Wang
FedML
181
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
300
7
0
30 May 2024
Federating Dynamic Models using Early-Exit Architectures for Automatic
  Speech Recognition on Heterogeneous Clients
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients
Mohamed Nabih Ali
Alessio Brutti
Daniele Falavigna
257
1
0
27 May 2024
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge
  Cache-driven Federated Learning
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning
Quyang Pan
Sheng Sun
Zhiyuan Wu
Yuwei Wang
Min Liu
Bo Gao
FedML
390
1
0
22 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
Advances in Robust Federated Learning: A Survey with Heterogeneity ConsiderationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
384
2
0
16 May 2024
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
Huai-an Su
Jiaxiang Geng
Liang Li
Xiaoqi Qin
Yanzhao Hou
Xin Fu
Miao Pan
Miao Pan
238
1
0
01 May 2024
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