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
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 32 27 0 03 May 2022
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation Xinyi Shang Yang Lu Y. Cheung Hanzi Wang FedML 46 32 0 30 Apr 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features Xinyi Shang Yang Lu Gang Huang Hanzi Wang FedML 31 79 0 28 Apr 2022
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation Farshid Varno Marzie Saghayi Laya Rafiee Sharut Gupta Stan Matwin Mohammad Havaei FedML 34 30 0 27 Apr 2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning Yae Jee Cho Andre Manoel Gauri Joshi Robert Sim Dimitrios Dimitriadis FedML 34 129 0 27 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 28 9 0 26 Apr 2022
Time-triggered Federated Learning over Wireless Networks Xiaokang Zhou Yansha Deng Huiyun Xia Shaochuan Wu M. Bennis FedML 44 20 0 26 Apr 2022
A Closer Look at Personalization in Federated Image Classification Changxing Jing Yan Huang Yihong Zhuang Liyan Sun Yue Huang Zhenlong Xiao Xinghao Ding 47 1 0 22 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 46 36 0 13 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 37 88 0 11 Apr 2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction Jingyi Xu Zihan Chen Tony Q.S. Quek Kai Fong Ernest Chong FedML 24 85 0 10 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement Hao Zhang Tingting Wu Siyao Cheng Jie Liu FedML 40 11 0 07 Apr 2022
Federated Domain Adaptation for ASR with Full Self-Supervision Junteng Jia Jay Mahadeokar Weiyi Zheng Yuan Shangguan Ozlem Kalinli Frank Seide 37 13 0 30 Mar 2022
Federated Learning with Position-Aware Neurons Xin-Chun Li Yi-Chu Xu Shaoming Song Bingshuai Li Yinchuan Li Yunfeng Shao De-Chuan Zhan FedML 29 33 0 28 Mar 2022
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks Won Joon Yun Yunseok Kwak Hankyul Baek Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim 23 16 0 26 Mar 2022
Improving Generalization in Federated Learning by Seeking Flat Minima Debora Caldarola Barbara Caputo Marco Ciccone FedML 47 110 0 22 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation An Xu Wenqi Li Pengfei Guo Dong Yang H. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng-Chiao Huang Ziyue Xu FedML 38 52 0 18 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 28 254 0 17 Mar 2022
Deep Class Incremental Learning from Decentralized Data Xiaohan Zhang Songlin Dong Jinjie Chen Qiaoling Tian Yihong Gong Xiaopeng Hong CLL 36 11 0 11 Mar 2022
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 15 11 0 10 Mar 2022
Efficient Image Representation Learning with Federated Sampled Softmax Sagar M. Waghmare Qi Huizhong Chen Mikhail Sirotenko Tomer Meron FedML 19 2 0 09 Mar 2022
Differentially Private Federated Learning with Local Regularization and Sparsification Anda Cheng Peisong Wang Xi Sheryl Zhang Jian Cheng FedML 28 71 0 07 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 36 52 0 28 Feb 2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 55 8 0 24 Feb 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation Ming Hu Tian Liu Zhiwei Ling Zhihao Yue Mingsong Chen FedML 24 1 0 23 Feb 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation Ece Isik Polat Gorkem Polat Altan Koçyiğit A. Temi̇zel OOD FedML 22 3 0 16 Feb 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Dinesh Manocha Jing Jiang Chengqi Zhang FedML 39 46 0 13 Feb 2022
Fabricated Flips: Poisoning Federated Learning without Data Jiyue Huang Zilong Zhao L. Chen Stefanie Roos 33 3 0 07 Feb 2022
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT Zonghang Li Yihong He Hongfang Yu Jiawen Kang Xiaoping Li Zenglin Xu Dusit Niyato FedML 16 92 0 03 Feb 2022
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications Tian Liu Jiahao Ding Ting Wang Miao Pan Mingsong Chen 9 7 0 29 Jan 2022
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks Yuhang Yao Weizhao Jin Yu Yang Carlee Joe-Wong GNN FedML 60 19 0 28 Jan 2022
Gradient Masked Averaging for Federated Learning Irene Tenison Sai Aravind Sreeramadas Vaikkunth Mugunthan Edouard Oyallon Irina Rish Eugene Belilovsky FedML 68 24 0 28 Jan 2022
Achieving Personalized Federated Learning with Sparse Local Models Tiansheng Huang Shiwei Liu Li Shen Fengxiang He Weiwei Lin Dacheng Tao FedML 38 43 0 27 Jan 2022
Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization Grigory Malinovsky Konstantin Mishchenko Peter Richtárik FedML 19 24 0 26 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 63 14 0 26 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 43 24 0 20 Jan 2022
Communication-Efficient Federated Learning with Accelerated Client Gradient Geeho Kim Jinkyu Kim Bohyung Han FedML 40 11 0 10 Jan 2022
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones Zhe Zhang Shiyao Ma Zhaohui Yang Zehui Xiong Jiawen Kang Yi Wu Kejia Zhang Dusit Niyato 27 35 0 03 Jan 2022
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 24 30 0 25 Dec 2021
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better Sameer Bibikar H. Vikalo Zhangyang Wang Xiaohan Chen FedML 35 96 0 18 Dec 2021
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation Alper Cetinkaya M. Akin Ş. Sağiroğlu OOD FedML 30 16 0 12 Dec 2021
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding Hankyul Baek Won Joon Yun Soyi Jung Jihong Park Mingyue Ji Joongheon Kim M. Bennis 51 1 0 05 Dec 2021
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks Hankyul Baek Won Joon Yun Yunseok Kwak Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim FedML 74 22 0 05 Dec 2021
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data Ha Min Son M. Kim T. Chung FedML 27 9 0 01 Dec 2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation Tian Liu Xian Wei Jun Xia Xin Fu Ting Wang Mingsong Chen 13 15 0 29 Nov 2021
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning Sixing Yu P. Nguyen Waqwoya Abebe Wei Qian Ali Anwar Ali Jannesari FedML 47 20 0 29 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen Xiaowen Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 44 68 0 22 Nov 2021
An Expectation-Maximization Perspective on Federated Learning Christos Louizos M. Reisser Joseph B. Soriaga Max Welling FedML 33 11 0 19 Nov 2021
Differentially Private Federated Learning on Heterogeneous Data Maxence Noble A. Bellet Aymeric Dieuleveut FedML 18 103 0 17 Nov 2021