Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

13 September 2019

Papers citing "Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification"

50 / 613 papers shown

Title
On the Convergence of Multi-Server Federated Learning with Overlapping Area Zhe Qu Xingyu Li Jie Xu Bo Tang Zhuo Lu Yao-Hong Liu FedML 50 15 0 16 Aug 2022
FedMR: Fedreated Learning via Model Recombination Ming Hu Zhihao Yue Zhiwei Ling Xian Wei Mingsong Chen FedML 21 0 0 16 Aug 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Taesik Gong Jongheon Jeong Taewon Kim Yewon Kim Jinwoo Shin Sung-Ju Lee OOD TTA 35 123 0 10 Aug 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity Xinchi Qiu Javier Fernandez-Marques Pedro Gusmão Yan Gao Titouan Parcollet Nicholas D. Lane FedML 55 67 0 04 Aug 2022
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? A. Elkordy Jiang Zhang Yahya H. Ezzeldin Konstantinos Psounis A. Avestimehr FedML 40 38 0 03 Aug 2022
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning Jialiang Han Yudong Han Gang Huang Yun Ma FedML 34 4 0 01 Aug 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 50 82 0 20 Jul 2022
SphereFed: Hyperspherical Federated Learning Xin Dong Shanghang Zhang Ang Li H. T. Kung FedML 47 19 0 19 Jul 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation Sungwon Han Sungwon Park Fangzhao Wu Sundong Kim Chuhan Wu Xing Xie M. Cha FedML 37 53 0 19 Jul 2022
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices Mingbin Xu Congzheng Song Ye Tian Neha Agrawal Filip Granqvist ... Shiyi Han Yaqiao Deng Leo Liu Anmol Walia Alex Jin FedML 20 22 0 18 Jul 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 31 28 0 18 Jul 2022
Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update H. Nguyen Lam Phan Harikrishna Warrier Yogesh Gupta FedML 27 5 0 18 Jul 2022
Multi-Level Branched Regularization for Federated Learning Jinkyu Kim Geeho Kim Bohyung Han FedML 27 53 0 14 Jul 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels Yaodong Yu Alexander Wei Sai Praneeth Karimireddy Yi Ma Michael I. Jordan FedML 19 30 0 13 Jul 2022
Towards the Practical Utility of Federated Learning in the Medical Domain Seongjun Yang Hyeonji Hwang Daeyoung Kim Radhika Dua Jong-Yeup Kim Eunho Yang Edward Choi FedML OOD 21 16 0 07 Jul 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 34 21 0 30 Jun 2022
Towards Federated Long-Tailed Learning Zihan Chen Songshan Liu Hualiang Wang Howard H. Yang Tony Q.S. Quek Zuozhu Liu FedML 30 10 0 30 Jun 2022
On the Importance and Applicability of Pre-Training for Federated Learning Hong-You Chen Cheng-Hao Tu Zi-hua Li Hang Shen Wei-Lun Chao FedML 29 79 0 23 Jun 2022
FedorAS: Federated Architecture Search under system heterogeneity Łukasz Dudziak Stefanos Laskaridis Javier Fernandez-Marques FedML 46 7 0 22 Jun 2022
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices Kartik Gupta Marios Fournarakis M. Reisser Christos Louizos Markus Nagel FedML 32 15 0 22 Jun 2022
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 27 24 0 21 Jun 2022
Mitigating Data Heterogeneity in Federated Learning with Data Augmentation Artur Back de Luca Guojun Zhang Xi Chen Yaoliang Yu FedML 24 30 0 20 Jun 2022
Pisces: Efficient Federated Learning via Guided Asynchronous Training Zhifeng Jiang Wei Wang Baochun Li Yue Liu FedML 32 24 0 18 Jun 2022
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 50 44 0 18 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning Ziyu Liu Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 34 53 0 16 Jun 2022
Federated Multi-organ Segmentation with Inconsistent Labels Xuanang Xu H. Deng J. Gateno Pingkun Yan FedML 49 23 0 14 Jun 2022
On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data Jianyu Wang Rudrajit Das Gauri Joshi Satyen Kale Zheng Xu Tong Zhang FedML 39 38 0 09 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 40 46 0 08 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinfu He Bo Han Xiaowen Chu FedML 38 73 0 06 Jun 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training Rong Dai Li Shen Fengxiang He Xinmei Tian Dacheng Tao FedML 35 112 0 01 Jun 2022
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images Jun Shi Yuan-Yang Zhang Zheng Li Xiangmin Han Saisai Ding Jun Wang Shihui Ying FedML OOD 32 11 0 31 May 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 54 31 0 30 May 2022
FedAUXfdp: Differentially Private One-Shot Federated Distillation Haley Hoech R. Rischke Karsten Müller Wojciech Samek FedML 24 4 0 30 May 2022
Maximizing Global Model Appeal in Federated Learning Yae Jee Cho Divyansh Jhunjhunwala Tian Li Virginia Smith Gauri Joshi FedML 24 7 0 30 May 2022
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition Kan Xie Zhe Zhang Bo Li Jiawen Kang Dusit Niyato Shengli Xie Yi Wu 25 67 0 28 May 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 28 23 0 27 May 2022
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction Yongxin Guo Xiaoying Tang Tao R. Lin FedML 59 27 0 26 May 2022
A Fair Federated Learning Framework With Reinforcement Learning Yaqi Sun Shijing Si Jianzong Wang Yuhan Dong Z. Zhu Jing Xiao FedML 35 7 0 26 May 2022
Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking Zhenxiao Zhang Zhidong Gao Yuanxiong Guo Yanmin Gong FedML 23 33 0 25 May 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering Ekdeep Singh Lubana Chi Ian Tang F. Kawsar Robert P. Dick Akhil Mathur FedML 40 52 0 23 May 2022
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation Ljubomir Rokvic Panayiotis Danassis Sai Praneeth Karimireddy Boi Faltings TDI 37 1 0 23 May 2022
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation Tobias Bernecker Annette Peters C. Schlett F. Bamberg Fabian J. Theis Daniel Rueckert J. Weiss Shadi Albarqouni FedML MedIm 40 20 0 23 May 2022
Semi-Decentralized Federated Learning with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 51 32 0 23 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 85 43 0 22 May 2022
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning Harsh Chaudhari Matthew Jagielski Alina Oprea 40 7 0 20 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging Rui Yan Liangqiong Qu Qingyue Wei Shih-Cheng Huang Liyue Shen D. Rubin Lei Xing Yuyin Zhou FedML 78 90 0 17 May 2022
Secure & Private Federated Neuroimaging Dimitris Stripelis Umang Gupta Hamza Saleem Nikhil J. Dhinagar Tanmay Ghai ... Greg Ver Steeg Yu Yang Muhammad Naveed Paul M. Thompson J. Ambite FedML OOD 35 2 0 11 May 2022
Communication Compression for Decentralized Learning with Operator Splitting Methods Yuki Takezawa Kenta Niwa M. Yamada 37 3 0 08 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 27 71 0 05 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 49 73 0 04 May 2022