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
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning Wenkai Yang Yankai Lin Guangxiang Zhao Peng Li Jie Zhou Xu Sun FedML 22 2 0 25 Jan 2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning Wenkai Yang Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun FedML 43 5 0 25 Jan 2023
When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA Jessica Zhao Sayan Ghosh Akash Bharadwaj Chih-Yao Ma FedML 30 6 0 24 Jan 2023
FedExP: Speeding Up Federated Averaging via Extrapolation Divyansh Jhunjhunwala Shiqiang Wang Gauri Joshi FedML 32 54 0 23 Jan 2023
Accelerating Fair Federated Learning: Adaptive Federated Adam Li Ju Tianru Zhang Salman Toor Andreas Hellander FedML 24 18 0 23 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 39 1 0 18 Jan 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 38 1 0 28 Dec 2022
Social-Aware Clustered Federated Learning with Customized Privacy Preservation Yuntao Wang Zhou Su Yanghe Pan Tom H. Luan Ruidong Li Shui Yu FedML 44 18 0 25 Dec 2022
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments Ayano Nakai-Kasai Tadashi Wadayama FedML 32 0 0 23 Dec 2022
On Noisy Evaluation in Federated Hyperparameter Tuning Kevin Kuo Pratiksha Thaker M. Khodak John Nguyen Daniel Jiang Ameet Talwalkar Virginia Smith FedML 51 8 0 17 Dec 2022
Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng Cheng Shen Yuan Liu Yeyu Ou Zhe Qu Jianxin Wang FedML 27 7 0 17 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou Jun Huang AAML FedML 34 0 0 05 Dec 2022
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding Won Joon Yun Jae Pyoung Kim Hankyul Baek Soyi Jung Jihong Park M. Bennis Joongheon Kim 39 4 0 04 Dec 2022
PGFed: Personalize Each Client's Global Objective for Federated Learning Jun Luo Matías Mendieta Chong Chen Shan-Jyun Wu FedML 35 9 0 02 Dec 2022
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 58 42 0 28 Nov 2022
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability Junyao Xing Xiaoliang Fan Jianzhong Qi Haibing Jin Peizhen Yang Siqi Shen Cheng-i Wang FedML 39 13 0 25 Nov 2022
Knowledge-Aware Federated Active Learning with Non-IID Data Yu Cao Ye-ling Shi Baosheng Yu Jingya Wang Dacheng Tao FedML 28 17 0 24 Nov 2022
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization Yann Fraboni Martin Van Waerebeke Kevin Scaman Richard Vidal Laetitia Kameni Marco Lorenzi FedML MU 15 14 0 21 Nov 2022
Quantifying the Impact of Label Noise on Federated Learning Shuqi Ke Chao Huang Xin Liu FedML 36 7 0 15 Nov 2022
Universal EHR Federated Learning Framework Junu Kim Kyunghoon Hur Seongjun Yang Edward Choi FedML 24 2 0 14 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity Mingjie Wang Jianxiong Guo Weijia Jia 34 6 0 14 Nov 2022
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization Yueqi Xie Weizhong Zhang Renjie Pi Fangzhao Wu Qifeng Chen Xing Xie Sunghun Kim FedML 36 7 0 10 Nov 2022
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning Hongrui Shi Valentin Radu Po Yang FedML 15 1 0 07 Nov 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 39 2 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 26 6 0 28 Oct 2022
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning Yuxin Wen Jonas Geiping Liam H. Fowl Hossein Souri Ramalingam Chellappa Micah Goldblum Tom Goldstein AAML SILM FedML 35 9 0 17 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 30 27 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 29 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 21 70 0 14 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 34 22 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 34 32 0 14 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 47 144 0 10 Oct 2022
What shapes the loss landscape of self-supervised learning? Liu Ziyin Ekdeep Singh Lubana Masakuni Ueda Hidenori Tanaka 52 20 0 02 Oct 2022
Federated Representation Learning via Maximal Coding Rate Reduction J. Cerviño Navid Naderializadeh Alejandro Ribeiro FedML 38 0 0 01 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 87 56 0 01 Oct 2022
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets Raviteja Vemulapalli Warren Morningstar Philip Mansfield Hubert Eichner K. Singhal Arash Afkanpour Bradley Green FedML 50 2 0 30 Sep 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 67 47 0 30 Sep 2022
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data Yuki Takezawa Hang Bao Kenta Niwa Ryoma Sato Makoto Yamada 32 19 0 30 Sep 2022
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction Jianyi Zhang Ang Li Minxue Tang Jingwei Sun Xiang Chen Fan Zhang Chang Chen Yiran Chen H. Li FedML 21 42 0 30 Sep 2022
Federated Stain Normalization for Computational Pathology Nicolas Wagner Moritz Fuchs Yuri Tolkach Anirban Mukhopadhyay OOD FedML MedIm 48 11 0 29 Sep 2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data Minh-Duong Nguyen Viet Quoc Pham D. Hoang Long Tran-Thanh Diep N. Nguyen W. Hwang 31 2 0 29 Sep 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 38 18 0 27 Sep 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 48 7 0 26 Sep 2022
Robust Collaborative Learning with Linear Gradient Overhead Sadegh Farhadkhani R. Guerraoui Nirupam Gupta L. Hoang Rafael Pinot John Stephan FedML 41 15 0 22 Sep 2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization Junjiao Tian James Smith Z. Kira 27 3 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 30 70 0 10 Sep 2022
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach G. Bertoli Lourencco Alves Pereira Junior A. Santos O. Saotome FedML 37 54 0 01 Sep 2022
Network-Level Adversaries in Federated Learning Giorgio Severi Matthew Jagielski Gokberk Yar Yuxuan Wang Alina Oprea Cristina Nita-Rotaru FedML 28 17 0 27 Aug 2022
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals Daniel Gutiérrez Hafiz Muuhammad Hassan Lorella Landi A. Vitaletti I. Chatzigiannakis FedML 19 15 0 23 Aug 2022
FedOS: using open-set learning to stabilize training in federated learning M. Mohamad Julian Neubert Juan Segundo Argayo FedML 16 2 0 22 Aug 2022