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Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,026 papers shown

Title
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction Zhan-Lun Chang Dong-Jun Han Rohit Parasnis Seyyedali Hosseinalipour Christopher G. Brinton 61 0 0 08 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 142 0 0 03 Oct 2024
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel Gabriel Thompson Kai Yue Chau-Wai Wong H. Dai FedML 96 0 0 02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 151 22 0 02 Oct 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation Zezhou Wang Yaxin Du Zhuzhong Qian Yugang Jiang Zhuzhong Qian Siheng Chen FedML 526 1 0 30 Sep 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method Bikang Pan Wei Huang Ye-ling Shi FedML VLM 107 8 0 29 Sep 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 92 0 0 27 Sep 2024
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration A. Imakura Tetsuya Sakurai FedML 52 1 0 27 Sep 2024
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT Jixuan Cui Jun Li Zhen Mei Yiyang Ni Wen Chen Zengxiang Li FedML 61 0 0 24 Sep 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 59 0 0 19 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 81 0 0 18 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 129 1 0 17 Sep 2024
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 112 0 0 16 Sep 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare Ming Li Pengcheng Xu Junjie Hu Zeyu Tang Guang Yang FedML 163 5 0 15 Sep 2024
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models Yao Shu Wenyang Hu Szu Hui Ng Bryan Kian Hsiang Low Fei Richard Yu FedML 103 2 0 10 Sep 2024
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning Jiahao Lai Jiaqiang Li Jian Xu Yanru Wu Boshi Tang Siqi Chen Yongfeng Huang Wenbo Ding Yang Li FedML 188 0 0 09 Sep 2024
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization Qianyi Zhao Chen Qu Cen Chen Mingyuan Fan Yanhao Wang 116 1 0 28 Aug 2024
The Key of Parameter Skew in Federated Learning Sifan Wang Junfeng Liao Ye Yuan Riquan Zhang FedML 105 0 0 21 Aug 2024
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization Shunxin Guo Hongsong Wang Shuxia Lin Zhiqiang Kou Xin Geng FedML 130 1 0 15 Aug 2024
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 87 1 0 12 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 93 0 0 11 Aug 2024
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 106 0 0 27 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 237 1 0 25 Jul 2024
Novel clustered federated learning based on local loss Endong Gu Yongxin Chen Hao Wen Xingju Cai Deren Han FedML 81 0 0 12 Jul 2024
Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems Lorenzo Cassano Jacopo DÁbramo Siraj Munir Stefano Ferretti FedML 49 1 0 09 Jul 2024
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 71 5 0 09 Jul 2024
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging Pranab Sahoo Ashutosh Tripathi Sriparna Saha S. Mondal 64 1 0 08 Jul 2024
Personalized Federated Continual Learning via Multi-granularity Prompt Hao Yu Xin Yang Xin Gao Yan Kang Hao Wang Junbo Zhang Tianrui Li CLL 119 11 0 27 Jun 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 183 2 0 23 Jun 2024
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification Zhipeng Deng Yuqiao Yang Kenji Suzuki MedIm FedML 101 2 0 17 Jun 2024
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning Gyuejeong Lee Daeyoung Choi 102 0 0 12 Jun 2024
Federated LoRA with Sparse Communication Kevin Kuo Arian Raje Kousik Rajesh Virginia Smith 111 12 0 07 Jun 2024
Towards Federated Domain Unlearning: Verification Methodologies and Challenges Kahou Tam Kewei Xu Li Li Huazhu Fu MU 136 2 0 05 Jun 2024
Augmenting the FedProx Algorithm by Minimizing Convergence Anomitra Sarkar Lavanya Vajpayee 48 0 0 02 Jun 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 88 2 0 31 May 2024
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making S. Hahn Gi-Soo Kim Junghye Lee FedML 57 1 0 31 May 2024
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 69 1 0 30 May 2024
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing Xianke Qiang Zheng Chang Yun Hu Lei Liu Timo Hämäläinen 65 2 0 29 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 374 2 0 25 May 2024
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 149 0 0 24 May 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization Zexi Li Lingzhi Gao Chao Wu AI4CE DiffM 131 4 0 23 May 2024
Rehearsal-free Federated Domain-incremental Learning Rui Sun Haoran Duan Jiahua Dong Varun Ojha Tejal Shah R. Ranjan CLL 139 1 0 22 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 136 7 0 19 May 2024
Distributed Event-Based Learning via ADMM Güner Dilsad Er Sebastian Trimpe Michael Muehlebach FedML 106 2 0 17 May 2024
SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning Yuning Yang H. Yu Tianrun Gao Tianrun Gao Xiaohong Liu Xiaodong Xu Ping Zhang Guangyu Wang 73 6 0 15 May 2024
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning M. Chahoud Hani Sami Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 59 0 0 12 May 2024
Federated Document Visual Question Answering: A Pilot Study Khanh Nguyen Dimosthenis Karatzas FedML 77 0 0 10 May 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 165 8 0 10 May 2024
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth Zhuansun Ying Dandan Li Xiaohong Huang Caijun Sun FedML 108 0 0 06 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 106 4 0 02 May 2024