v1v2v3v4v5 (latest)

Federated Optimization in Heterogeneous Networks

14 December 2018

Papers citing "Federated Optimization in Heterogeneous Networks"

50 / 1,027 papers shown

Title
Communication-Efficient Local SGD with Age-Based Worker Selection Feng Zhu Jingjing Zhang Xin Eric Wang 103 1 0 31 Oct 2022
Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones Sannara Ek François Portet P. Lalanda Germán Vega FedML 63 12 0 30 Oct 2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout Chen Dun Mirian Hipolito Garcia C. Jermaine Dimitrios Dimitriadis Anastasios Kyrillidis 136 22 0 28 Oct 2022
FedVMR: A New Federated Learning method for Video Moment Retrieval Yan Wang Xin Luo Zhen-Duo Chen P. Zhang Meng Liu Xin-Shun Xu FedML 73 3 0 28 Oct 2022
Federated Learning with Intermediate Representation Regularization Ye Lin Tun Chu Myaet Thwal Yu Min Park Seong-Bae Park Choong Seon Hong FedML 90 7 0 28 Oct 2022
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity Artavazd Maranjyan M. Safaryan Peter Richtárik 96 13 0 28 Oct 2022
Federated Graph Representation Learning using Self-Supervision Susheel Suresh Daniel Godbout Arko Provo Mukherjee Mayank Shrivastava Jennifer Neville Pan Li OOD FedML 67 2 0 27 Oct 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning Leijie Zhang Ye-ling Shi Yu-Cheng Chang Chin-Teng Lin FedML 67 15 0 26 Oct 2022
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks Jaehee Jang Heonseok Ha Dahuin Jung Sungroh Yoon FedML 95 42 0 25 Oct 2022
NVIDIA FLARE: Federated Learning from Simulation to Real-World H. Roth Yan Cheng Yuhong Wen Isaac Yang Ziyue Xu ... Daguang Xu Nic Ma Prerna Dogra Mona G. Flores Andrew Feng FedML AI4CE 97 101 0 24 Oct 2022
Investigating Neuron Disturbing in Fusing Heterogeneous Neural Networks Biao Zhang Shuqin Zhang FedML MoMe 34 0 0 24 Oct 2022
On-Device Model Fine-Tuning with Label Correction in Recommender Systems Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lyu Guihai Chen 36 2 0 21 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation Xuan Gong Liangchen Song Rishi Vedula Abhishek Sharma Meng Zheng ... Arun Innanje Terrence Chen Junsong Yuan David Doermann Ziyan Wu FedML 85 28 0 16 Oct 2022
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation Ming Hu Peiheng Zhou Zhihao Yue Zhiwei Ling Yihao Huang Anran Li Yang Liu Xiang Lian Mingsong Chen FedML 77 14 0 15 Oct 2022
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning John Nguyen Jianyu Wang Kshitiz Malik Maziar Sanjabi Michael G. Rabbat FedML AI4CE 95 76 0 14 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 96 33 0 14 Oct 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems Bart Cox L. Chen Jérémie Decouchant FedML 71 11 0 12 Oct 2022
FedBA: Non-IID Federated Learning Framework in UAV Networks Peichun Li Zhijun Liu Luyi Chang Jialiang Peng Yi Wu FedML 58 1 0 10 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 133 158 0 10 Oct 2022
Depersonalized Federated Learning: Tackling Statistical Heterogeneity by Alternating Stochastic Gradient Descent Yujie Zhou Zhidu Li Tong Tang Ruyang Wang FedML 68 0 0 07 Oct 2022
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net Seonhyeon Kim Jiheon Woo Daewon Seo Yongjune Kim FedML 93 1 0 06 Oct 2022
FedGraph: an Aggregation Method from Graph Perspective Zhifang Deng Xiaohong Huang Dandan Li Xueguang Yuan FedML 70 0 0 06 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 186 8 0 06 Oct 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 92 39 0 05 Oct 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling Zheqi Zhu Yuchen Shi Pingyi Fan Chenghui Peng Khaled B. Letaief FedML 96 10 0 05 Oct 2022
FedMT: Federated Learning with Mixed-type Labels Qiong Zhang Jing Peng Xin Zhang A. Talhouk Gang Niu Xiaoxiao Li FedML 126 0 0 05 Oct 2022
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning Tanguy Marchand Boris Muzellec C. Béguier Jean Ogier du Terrail M. Andreux FedML 71 9 0 04 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 123 6 0 03 Oct 2022
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer Junming Chen Meirui Jiang Qianming Dou Qifeng Chen FedML OOD 81 47 0 03 Oct 2022
Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning Haibo Yang Pei-Yuan Qiu Jia Liu FedML 74 12 0 03 Oct 2022
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms Ming Xiang Lili Su FedML 87 3 0 03 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning Yujun Shi Jian Liang Wenqing Zhang Vincent Y. F. Tan Song Bai FedML 166 59 0 01 Oct 2022
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks Mahdi Morafah Saeed Vahidian Chong Chen M. Shah Bill Lin FedML 92 53 0 30 Sep 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 76 30 0 29 Sep 2022
Federated Stain Normalization for Computational Pathology Nicolas Wagner Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay OOD FedML MedIm 82 13 0 29 Sep 2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data Minh-Duong Nguyen Quoc-Viet Pham D. Hoang Long Tran-Thanh Diep N. Nguyen Won Joo Hwang 76 2 0 29 Sep 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q.S. Quek 66 15 0 27 Sep 2022
On the Stability Analysis of Open Federated Learning Systems Youbang Sun H. Fernando Tianyi Chen Shahin Shahrampour FedML 71 1 0 25 Sep 2022
Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning Xin Yang Omid Ardakanian 62 3 0 24 Sep 2022
Lightweight Transformers for Human Activity Recognition on Mobile Devices Sannara Ek François Portet P. Lalanda 83 32 0 22 Sep 2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization Junjiao Tian James Smith Z. Kira 64 3 0 21 Sep 2022
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 109 53 0 21 Sep 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 107 179 0 21 Sep 2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje FedML 85 78 0 10 Sep 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 147 13 0 08 Sep 2022
Modular Federated Learning Kuo-Yun Liang A. Srinivasan J. C. Andresen FedML 107 7 0 07 Sep 2022
Faster federated optimization under second-order similarity Ahmed Khaled Chi Jin FedML 100 19 0 06 Sep 2022
Federated Zero-Shot Learning for Visual Recognition Zhi Chen Yadan Luo Sen Wang Jingjing Li Zi Huang FedML 63 3 0 05 Sep 2022
Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning Rahul Mishra Hari Prabhat Gupta Tanima Dutta Sajal K. Das 61 3 0 03 Sep 2022
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning Benshun Yin Zhiyong Chen M. Tao FedML 104 25 0 02 Sep 2022