Federated Learning with Matched Averaging

15 February 2020

Hongyi Wang

Mikhail Yurochkin

Yuekai Sun

Dimitris Papailiopoulos

Y. Khazaeni

FedML

ArXiv PDF HTML

Papers citing "Federated Learning with Matched Averaging"

50 / 513 papers shown

Title
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning Kin Wai Lau Yasar Abbas Ur Rehman Pedro Porto Buarque de Gusmão L. Po Lan Ma Yuyang Xie FedML 29 0 0 24 Sep 2024
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 37 10 0 20 Sep 2024
Green Federated Learning: A new era of Green Aware AI Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Francesco Piccialli AI4CE 32 3 0 19 Sep 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li Xiaoqi Wang Hong-You Chen Han-Wei Shen Wei-Lun Chao FedML 30 0 0 17 Sep 2024
Federated Impression for Learning with Distributed Heterogeneous Data Atrin Arya Sana Ayromlou Armin Saadat Purang Abolmaesumi Xiaoxiao Li FedML OOD 16 0 0 11 Sep 2024
Towards Hyper-parameter-free Federated Learning Geetika Drishya Uniyal Bapi Chatterjee FedML 44 0 0 30 Aug 2024
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition Shuang Zeng Pengxin Guo Shuai Wang Jianbo Wang Yuyin Zhou Liangqiong Qu FedML 29 2 0 22 Aug 2024
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging Yichu Xu Xin-Chun Li Le Gan De-Chuan Zhan MoMe 40 0 0 22 Aug 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 31 0 0 21 Aug 2024
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing Vinit Hegiste T. Legler Martin Ruskowski 19 2 0 19 Aug 2024
One-Shot Collaborative Data Distillation William Holland Chandra Thapa Sarah Ali Siddiqui Wei Shao S. Çamtepe DD FedML 30 0 0 05 Aug 2024
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning Sayyed Farid Ahamed Soumya Banerjee Sandip Roy Devin Quinn Marc Vucovich K. Choi Abdul Rahman Alison Hu Edward Bowen Sachin Shetty 19 0 0 26 Jul 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization Yujia Wang Shiqiang Wang Songtao Lu Jinghui Chen FedML 34 3 0 25 Jul 2024
Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs Maryam Abbasihafshejani Anindya Maiti Murtuza Jadliwala FedML 29 0 0 24 Jul 2024
A Hybrid Federated Kernel Regularized Least Squares Algorithm Celeste Damiani Yulia Rodina Sergio Decherchi FedML 20 3 0 24 Jul 2024
Training-Free Model Merging for Multi-target Domain Adaptation Wenyi Li Huan-ang Gao Mingju Gao Beiwen Tian Rong Zhi Hao Zhao MoMe 48 5 0 18 Jul 2024
Jigsaw Game: Federated Clustering Jinxuan Xu Hong-You Chen Wei-Lun Chao Yuqian Zhang FedML 36 0 0 17 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 26 0 0 17 Jul 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering Ensieh Khazaei Alireza Esmaeilzehi Bilal Taha Dimitrios Hatzinakos FedML 20 1 0 17 Jul 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning Marawan Elbatel Hualiang Wang Jixiang Chen Hao Wang Xiaomeng Li FedML 55 0 0 14 Jul 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 70 1 0 23 Jun 2024
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training Sunwoo Lee Tuo Zhang Saurav Prakash Yue Niu Salman Avestimehr FedML 29 4 0 21 Jun 2024
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning Xiaolei Wang Xinyu Tang Wayne Xin Zhao Ji-Rong Wen 25 2 0 20 Jun 2024
Knowledge Fusion By Evolving Weights of Language Models Guodong Du Jing Li Hanting Liu Runhua Jiang Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang MoMe 38 8 0 18 Jun 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging Zhenyi Lu Chenghao Fan Wei Wei Xiaoye Qu Dangyang Chen Yu Cheng MoMe 42 48 0 17 Jun 2024
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks Yingchao Yu Yuping Yan Jisong Cai Yaochu Jin FedML 24 0 0 14 Jun 2024
Decentralized Personalized Federated Learning Salma Kharrat Marco Canini Samuel Horváth FedML 39 0 0 10 Jun 2024
Optimisation of federated learning settings under statistical heterogeneity variations Basem Suleiman M. J. Alibasa R. Purwanto Lewis Jeffries Ali Anaissi Jacky Song FedML 25 0 0 10 Jun 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 38 0 0 04 Jun 2024
Certifiably Byzantine-Robust Federated Conformal Prediction Mintong Kang Zhen Lin Jimeng Sun Cao Xiao Bo-wen Li FedML 31 3 0 04 Jun 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Zheng Wang Zheng Wang Zhaopeng Peng Zihui Wang Cheng-i Wang FedML 35 0 0 31 May 2024
Enhancing Performance for Highly Imbalanced Medical Data via Data Regularization in a Federated Learning Setting Georgios Tsoumplekas Ilias Siniosoglou Vasileios Argyriou Ioannis D. Moscholios Panagiotis G. Sarigiannidis OOD FedML 23 1 0 30 May 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim Moe Putterman Robin Walters Haggai Maron Stefanie Jegelka 35 5 0 30 May 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 29 4 0 30 May 2024
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learning Zhuang Qi Lei Meng Weihao He Ruohan Zhang Yu Wang Xin Qi Xiangxu Meng FedML 33 4 0 30 May 2024
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization Xiumei Deng Jun Li Kang Wei Long Shi Zeihui Xiong Ming Ding Wen Chen Shi Jin H. Vincent Poor FedML 43 0 0 28 May 2024
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average Louis Fournier Adel Nabli Masih Aminbeidokhti M. Pedersoli Eugene Belilovsky Edouard Oyallon MoMe FedML 41 3 0 27 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 81 2 0 25 May 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Yongxin Guo Lin Wang Xiaoying Tang Tao R. Lin FedML OOD 27 0 0 25 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee Javier Fernandez-Marques S. Hu Da Li Stefanos Laskaridis L. Dudziak Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane 25 3 0 23 May 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang Zexi Li Ningyu Zhang Ziwen Xu Yunzhi Yao Yong-jia Jiang Pengjun Xie Fei Huang Huajun Chen KELM CLL 45 20 0 23 May 2024
Visualizing, Rethinking, and Mining the Loss Landscape of Deep Neural Networks Xin-Chun Li Lan Li De-Chuan Zhan 33 2 0 21 May 2024
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks Xin-Chun Li Jinli Tang Bo Zhang Lan Li De-Chuan Zhan 41 2 0 21 May 2024
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data Mahdi Morafah M. Reisser Bill Lin Christos Louizos FedML 32 5 0 13 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 68 6 0 23 Apr 2024
Towards Multi-modal Transformers in Federated Learning Guangyu Sun Matías Mendieta Aritra Dutta Xin Li C. L. P. Chen 67 3 0 18 Apr 2024
FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning Sungwon Han Hyeonho Song Sungwon Park Meeyoung Cha FedML AAML 30 0 0 18 Apr 2024
Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network Jaeyeon Jang Diego Klabjan Veena Mendiratta Fanfei Meng FedML 16 1 0 15 Apr 2024
On the Efficiency of Privacy Attacks in Federated Learning Nawrin Tabassum Ka-Ho Chow Xuyu Wang Wenbin Zhang Yanzhao Wu FedML 29 1 0 15 Apr 2024
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes Xin-Chun Li Shaoming Song Yinchuan Li Bingshuai Li Yunfeng Shao Yang Yang De-Chuan Zhan FedML 34 9 0 14 Apr 2024