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 / 209 papers shown

Title
Version age-based client scheduling policy for federated learning Xinyi Hu Nikolaos Pappas Howard H. Yang 28 3 0 08 Feb 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q. S. Quek Kai Fong Ernest Chong OOD FedML 29 13 0 29 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 61 5 0 22 Jan 2024
A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL Iyer Venkataraman Natarajan 23 8 0 01 Jan 2024
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data Jiangming Shi Shanshan Zheng Xiangbo Yin Yang Lu Yuan Xie Yanyun Qu VLM FedML 44 10 0 14 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 24 31 0 10 Dec 2023
Towards Fast and Stable Federated Learning: Confronting Heterogeneity via Knowledge Anchor Jinqian Chen Jihua Zhu Qinghai Zheng 38 3 0 05 Dec 2023
Federated learning compression designed for lightweight communications Lucas Grativol Ribeiro Mathieu Léonardon Guillaume Muller Virginie Fresse Matthieu Arzel FedML 30 3 0 23 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 26 9 0 13 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 8 0 0 11 Oct 2023
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration Xinghao Wu Xuefeng Liu Jianwei Niu Guogang Zhu Shaojie Tang FedML 21 17 0 20 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying Chen FedML 28 5 0 13 Sep 2023
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation Yanxin Yang Ming Hu Yue Cao Jun Xia Yihao Huang Yang Liu Mingsong Chen FedML 29 6 0 22 Aug 2023
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment Lucía Morris Tori Qiu Nikhil Raghuraman 27 0 0 22 Aug 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 39 8 0 20 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K. R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 29 3 0 07 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics Alberto Archetti F. Ieva Matteo Matteucci FedML 17 10 0 04 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup Yan Sun Li Shen Hao Sun Liang Ding Dacheng Tao FedML 24 17 0 30 Jul 2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao FedML 26 3 0 29 Jul 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants Zhipeng Sun Yang Xu Hong-Ze Xu Liusheng Huang C. Qiao FedML 22 0 0 29 Jul 2023
Blockchain-Based Federated Learning: Incentivizing Data Sharing and Penalizing Dishonest Behavior Amir Jaberzadeh A. Shrestha F. Khan Mohammed Afaan Shaikh Bhargav Dave Jason Geng FedML 27 3 0 19 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization Ruqi Bai S. Bagchi David I. Inouye FedML 37 12 0 11 Jul 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 24 0 0 02 Jun 2023
FACT: Federated Adversarial Cross Training Stefan Schrod Jonas Lippl Andreas Schäfer Michael Altenbuchinger FedML HILM 13 3 0 01 Jun 2023
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging Jiamian Wang Zong-Jhe Wu Yulun Zhang Xin Yuan Tao R. Lin Zhiqiang Tao FedML 51 3 0 01 Jun 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu Xintao Wang Jay Zhangjie Wu Yujun Shi Yunpeng Chen ... Shuning Chang Wei Yu Wu Yixiao Ge Ying Shan Mike Zheng Shou DiffM 43 166 0 29 May 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu Yaodong Yu Sai Praneeth Karimireddy Michael I. Jordan Ramesh Raskar FedML 34 21 0 27 May 2023
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices Kilian Pfeiffer R. Khalili J. Henkel FedML 42 5 0 26 May 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 24 14 0 24 May 2023
Federated Learning of Medical Concepts Embedding using BEHRT Ofir Ben Shoham Nadav Rappoport FedML OOD 21 12 0 22 May 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 34 33 0 19 May 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence Yuki Takezawa Ryoma Sato Han Bao Kenta Niwa M. Yamada 31 9 0 19 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 19 20 0 19 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 33 2 0 01 May 2023
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization Kfir Y. Levy Kfir Y. Levy FedML 43 2 0 09 Apr 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 13 4 0 29 Mar 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 Mar 2023
Adaptive Federated Learning via New Entropy Approach Shensheng Zheng Wenhao Yuan Xuehe Wang Ling-Yu Duan FedML OOD 25 1 0 27 Mar 2023
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 29 3 0 27 Mar 2023
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning Zheqi Zhu Yuchen Shi Jia Luo Fei-Yue Wang Chenghui Peng Pingyi Fan Khaled B. Letaief FedML 32 20 0 11 Mar 2023
Federated Gradient Matching Pursuit Halyun Jeong Deanna Needell Jing Qin FedML 37 1 0 20 Feb 2023
FedFA: Federated Feature Augmentation Tianfei Zhou E. Konukoglu OOD FedML 25 28 0 30 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 37 5 0 25 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 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 32 0 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 26 18 0 25 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
Federated Learning for 5G Base Station Traffic Forecasting V. Perifanis Nikolaos Pavlidis R. Koutsiamanis P. Efraimidis AI4TS 41 41 0 28 Nov 2022
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability Zhilin Wang Xiaoliang Fan Jianzhong Qi Haibing Jin Peizhen Yang Siqi Shen Cheng-i Wang FedML 30 13 0 25 Nov 2022