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2002.06440
Cited By
Federated Learning with Matched Averaging
International Conference on Learning Representations (ICLR), 2020
15 February 2020
Hongyi Wang
Mikhail Yurochkin
Yuekai Sun
Dimitris Papailiopoulos
Y. Khazaeni
FedML
Re-assign community
ArXiv (abs)
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HuggingFace (2 upvotes)
Papers citing
"Federated Learning with Matched Averaging"
50 / 546 papers shown
Title
FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning
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Sylvain Kubler
Yves Le Traon
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100
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Federated Learning via Meta-Variational Dropout
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Junhyeog Yun
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129
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BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity
Alejandro Guerra-Manzanares
Omar El-Herraoui
Michail Maniatakos
Farah E. Shamout
28
0
0
15 Oct 2025
Robustness and Regularization in Hierarchical Re-Basin
The European Symposium on Artificial Neural Networks (ESANN), 2025
Benedikt Franke
Florian Heinrich
Markus Lange
Arne P. Raulf
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AAML
105
1
0
10 Oct 2025
Do We Really Need Permutations? Impact of Width Expansion on Linear Mode Connectivity
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Masanori Yamada
Daiki Chijiwa
Atsutoshi Kumagai
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61
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09 Oct 2025
FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation
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LingXiang Wang
Sijia Wen
Ziwei Wang
Hainan Zhang
FedML
32
0
0
09 Oct 2025
Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
J. Allcock
Joao F. Doriguello
Gábor Ivanyos
M. Santha
40
3
0
08 Oct 2025
Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
Z. Chen
Su Zhang
Heng Huang
FedML
60
0
0
06 Oct 2025
Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
Danni Yang
Zhikang Chen
Sen Cui
Mengyue Yang
D. Li
Abudukelimu Wuerkaixi
Xue Yang
Jinke Ren
Mingming Gong
FedML
28
0
0
28 Sep 2025
Cost-Free Personalization via Information-Geometric Projection in Bayesian Federated Learning
Nour Jamoussi
Giuseppe Serra
Photios A. Stavrou
Marios Kountouris
FedML
60
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Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation
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CLL
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129
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Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg
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48
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AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders
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Kentaro Kita
Kento Hasegawa
Seira Hidano
48
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Decoupled Contrastive Learning for Federated Learning
Hyungbin Kim
Incheol Baek
Yon Dohn Chung
FedML
93
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Cyst-X: A Federated AI System Outperforms Clinical Guidelines to Detect Pancreatic Cancer Precursors and Reduce Unnecessary Surgery
Hongyi Pan
Gorkem Durak
Elif Keles
Deniz Seyithanoglu
Zheyuan Zhang
...
Tamas Gonda
Frank H. Miller
Rajesh N. Keswani
Michael B. Wallace
Ulas Bagci
MedIm
170
0
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29 Jul 2025
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
Sajid Hussain
Muhammad Sohail
Nauman Ali Khan
Naima Iltaf
Ihtesham ul Islam
AI4TS
94
0
0
24 Jun 2025
Flat Channels to Infinity in Neural Loss Landscapes
Flavio Martinelli
Alexander Van Meegen
Berfin Simsek
W. Gerstner
Johanni Brea
165
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0
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The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions
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Gül Sena Altıntaş
Colin Raffel
David Rolnick
254
0
0
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UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
Sunny Gupta
Nikita Jangid
Amit Sethi
FedML
72
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PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling
Yuxuan Yue
Zukang Xu
Zhihang Yuan
Dawei Yang
Jianglong Wu
Liqiang Nie
MQ
184
1
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Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning
International Conference on Information Photonics (ICIP), 2025
Luiz Manella Pereira
M. Amini
FedML
153
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FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
Zijian Li
Xiaocheng Feng
Huixin Liu
Yichong Huang
Ting Liu
Bing Qin
MoMe
222
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Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset
Abhisek Ray
Lukas Esterle
OOD
99
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31 May 2025
Accelerated Training of Federated Learning via Second-Order Methods
Mrinmay Sen
Sidhant R Nair
C Krishna Mohan
FedML
130
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0
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Federated Instrumental Variable Analysis via Federated Generalized Method of Moments
Geetika
Somya Tyagi
Bapi Chatterjee
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105
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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
Ding Wang
Guosun Zeng
151
2
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FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
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Haoran Li
H. Chen
Jun Yan
Lijuan Wang
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Jun Shen
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98
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Distributionally Robust Federated Learning with Client Drift Minimization
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111
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FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
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Arshad Jhumka
65
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19 May 2025
Incentivizing Inclusive Contributions in Model Sharing Markets
Nature Communications (Nat Commun), 2025
Enpei Zhang
Jingyi Chai
Guangyi Liu
Yanfeng Wang
Siheng Chen
TDI
FedML
702
2
0
05 May 2025
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Zhengyi Zhong
Weidong Bao
Ji Wang
Jianguo Chen
Lingjuan Lyu
Wei Yang Bryan Lim
CLL
274
3
0
01 May 2025
Token-Level Prompt Mixture with Parameter-Free Routing for Federated Domain Generalization
Shuai Gong
C. Cui
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188
0
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Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
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FedML
278
25
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Selective Attention Federated Learning: Improving Privacy and Efficiency for Clinical Text Classification
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147
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Metropolis-Hastings Captioning Game: Knowledge Fusion of Vision Language Models via Decentralized Bayesian Inference
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Ryosuke Yamaki
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Tadahiro Taniguchi
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178
3
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Query-based Knowledge Transfer for Heterogeneous Learning Environments
International Conference on Learning Representations (ICLR), 2025
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
242
0
0
12 Apr 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining
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Kitae Kim
Avi Deb Raha
Apurba Adhikary
Eui-nam Huh
Zhu Han
Choong Seon Hong
FedML
176
1
0
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Operator Learning: A Statistical Perspective
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185
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Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
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FedML
136
1
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FLIP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
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151
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AIGC-assisted Federated Learning for Edge Intelligence: Architecture Design, Research Challenges and Future Directions
Xianke Qiang
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FedML
166
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Distributionally Robust Federated Learning: An ADMM Algorithm
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206
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FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
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Bingjie Zhang
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Dandan Guo
Yi Chang
211
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0
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FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
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Jinmeng Li
He Zhao
D. Guo
Yi Chang
FedML
228
1
0
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Danielle Belgrave
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97
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Yebo Wu
Chunlin Tian
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He Sun
Kahou Tam
Zhanting Zhou
Haicheng Liao
Zhijiang Guo
Li Li
Chengzhong Xu
FedML
317
9
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Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
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Yanbiao Ma
Wei-Ming Dai
Wenke Huang
Jiayi Chen
357
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Guanyu Gao
Xiaohu Wu
Yan Lyu
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133
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Hong-You Chen
Wei-Lun Chao
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139
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Runpeng Yu
Xinchao Wang
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205
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