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
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee Minchan Jeong Yongjin Shin Sangmin Bae Se-Young Yun FedML 33 117 0 06 Jun 2021
Local Adaptivity in Federated Learning: Convergence and Consistency Jianyu Wang Zheng Xu Zachary Garrett Zachary B. Charles Luyang Liu Gauri Joshi FedML 32 39 0 04 Jun 2021
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training Enmao Diao Jie Ding Vahid Tarokh FedML 27 73 0 02 Jun 2021
Unifying Distillation with Personalization in Federated Learning Siddharth Divi Habiba Farrukh Berkay Çelik FedML 37 5 0 31 May 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 27 633 0 20 May 2021
Prototype Guided Federated Learning of Visual Feature Representations Umberto Michieli Mete Ozay FedML 19 37 0 19 May 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 21 184 0 12 May 2021
Cluster-driven Graph Federated Learning over Multiple Domains Debora Caldarola Massimiliano Mancini Fabio Galasso Marco Ciccone Emanuele Rodolà Barbara Caputo FedML 19 83 0 29 Apr 2021
Decentralized Federated Averaging Tao Sun Dongsheng Li Bao Wang FedML 54 210 0 23 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 18 29 0 01 Apr 2021
Model-Contrastive Federated Learning Qinbin Li Bingsheng He D. Song FedML 27 1,008 0 30 Mar 2021
Federated Learning with Taskonomy for Non-IID Data Hadi Jamali Rad Mohammad Abdizadeh Anuj Singh FedML 48 54 0 29 Mar 2021
Prior-Independent Auctions for the Demand Side of Federated Learning Andreas A. Haupt Vaikkunth Mugunthan FedML 19 0 0 26 Mar 2021
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang Xuefei Ning Yitu Wang Jingwei Sun Yu Wang H. Li Yiran Chen FedML 29 81 0 24 Mar 2021
Demystifying the Effects of Non-Independence in Federated Learning Stefan Arnold Dilara Yesilbas FedML 34 4 0 20 Mar 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Zachary B. Charles Jakub Konecný FedML 26 63 0 08 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 41 327 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 847 0 01 Mar 2021
Federated $f$ -Differential Privacy Qinqing Zheng Shuxiao Chen Qi Long Weijie J. Su FedML 88 55 0 22 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 791 0 15 Feb 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization Canh T. Dinh Thanh Tung Vu N. H. Tran Minh N. Dao Hongyu Zhang FedML 67 40 0 14 Feb 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz Ziyu Liu Thomas Steinke FedML 44 232 0 12 Feb 2021
Robust Federated Learning with Attack-Adaptive Aggregation Ching Pui Wan Qifeng Chen OOD FedML 30 30 0 10 Feb 2021
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data Tao R. Lin Sai Praneeth Karimireddy Sebastian U. Stich Martin Jaggi FedML 25 101 0 09 Feb 2021
Coordinating Momenta for Cross-silo Federated Learning An Xu Heng-Chiao Huang FedML 15 19 0 08 Feb 2021
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings Dimitris Stripelis J. Ambite FedML 16 38 0 04 Feb 2021
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning Felix Sattler Tim Korjakow R. Rischke Wojciech Samek FedML 19 115 0 04 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 101 955 0 03 Feb 2021
Scaling Federated Learning for Fine-tuning of Large Language Models Agrin Hilmkil Sebastian Callh Matteo Barbieri L. R. Sütfeld Edvin Listo Zec Olof Mogren FedML 22 47 0 01 Feb 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 28 251 0 27 Jan 2021
On Provable Backdoor Defense in Collaborative Learning Ximing Qiao Yuhua Bai S. Hu Ang Li Yiran Chen H. Li AAML FedML 11 1 0 19 Jan 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources Shenghui Li Edith C.H. Ngai Fanghua Ye Thiemo Voigt FedML 27 28 0 14 Jan 2021
Federated Nonconvex Sparse Learning Qianqian Tong Guannan Liang Tan Zhu J. Bi FedML 29 14 0 31 Dec 2020
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 47 22 0 31 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 48 37 0 16 Dec 2020
Personalized Federated Learning with First Order Model Optimization Michael Zhang Karan Sapra Sanja Fidler Serena Yeung J. Álvarez FedML 38 290 0 15 Dec 2020
Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning Yae Jee Cho Samarth Gupta Gauri Joshi Osman Yağan FedML 16 67 0 14 Dec 2020
Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data N. Mhaisen Alaa Awad Amr M. Mohamed A. Erbad Mohsen Guizani FedML 50 12 0 10 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits Taehyeon Kim Sangmin Bae Jin-woo Lee Se-Young Yun FedML 29 15 0 06 Dec 2020
Communication-Efficient Federated Distillation Felix Sattler Arturo Marbán R. Rischke Wojciech Samek FedML DD 39 35 0 01 Dec 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee Tiansheng Huang Weiwei Lin Wentai Wu Ligang He Keqin Li Albert Y. Zomaya FedML 36 222 0 03 Nov 2020
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework Dhruv Guliani F. Beaufays Giovanni Motta FedML 13 80 0 29 Oct 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 23 80 0 13 Oct 2020
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 47 401 0 03 Oct 2020
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data Qianqian Tong Guannan Liang J. Bi FedML 41 27 0 14 Sep 2020
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning Hong-You Chen Wei-Lun Chao FedML 25 257 0 04 Sep 2020
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models Zhengming Zhang Yaoqing Yang Z. Yao Yujun Yan Joseph E. Gonzalez Michael W. Mahoney FedML 39 36 0 26 Aug 2020
Accelerating Federated Learning in Heterogeneous Data and Computational Environments Dimitris Stripelis J. Ambite FedML 20 11 0 25 Aug 2020
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning Sai Praneeth Karimireddy Martin Jaggi Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 37 215 0 08 Aug 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020