FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

22 March 2022

Li Li

Papers citing "FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"

50 / 118 papers shown

Title
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks Usevalad Milasheuski Bernardo Camajori Tedeschini M. Nicoli S. Savazzi OOD 20 5 0 29 Apr 2024
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity Yuan Wang Huazhu Fu Renuga Kanagavelu Qingsong Wei Yong Liu Rick Siow Mong Goh FedML 31 29 0 29 Apr 2024
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions Changjuan Ran Yeting Guo Fang Liu Shenglan Cui Yunfan Ye FedML 23 1 0 25 Apr 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning Yinlin Zhu Xunkai Li Zhengyu Wu Di Wu Miao Hu Ronghua Li FedML 29 5 0 22 Apr 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity Naibo Wang Yuchen Deng Wenjie Feng Shichen Fan Jianwei Yin See-Kiong Ng FedML 37 5 0 18 Apr 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity Kai Yi Nidham Gazagnadou Peter Richtárik Lingjuan Lyu 79 11 0 15 Apr 2024
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity Yu Qiao Huy Q. Le Mengchun Zhang Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 46 9 0 14 Apr 2024
Federated Optimization with Doubly Regularized Drift Correction Xiaowen Jiang Anton Rodomanov Sebastian U. Stich FedML 27 6 0 12 Apr 2024
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study Gustav A. Baumgart Jaemin Shin Ali Payani Myungjin Lee Ramana Rao Kompella FedML 34 6 0 26 Mar 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian Mrinmay Sen A. K. Qin Krishna Mohan FedML 32 0 0 16 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning Hong Lin Lidan Shou Ke Chen Gang Chen Sai Wu 32 0 0 07 Mar 2024
Federated Learning over Connected Modes Dennis Grinwald Philipp Wiesner Shinichi Nakajima FedML 45 0 0 05 Mar 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models Jinqian Chen Jihua Zhu Qinghai Zheng Zhongyu Li Zhiqiang Tian FedML 22 3 0 26 Feb 2024
FLASH: Federated Learning Across Simultaneous Heterogeneities Xiangyu Chang Sk. Miraj Ahmed S. Krishnamurthy Başak Güler A. Swami Samet Oymak A. Roy-Chowdhury FedML 26 2 0 13 Feb 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Xunkai Li Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 32 16 0 22 Jan 2024
Federated Learning with Projected Trajectory Regularization Tiejin Chen Yuanpu Cao Yujia Wang Cho-Jui Hsieh Jinghui Chen FedML 21 0 0 22 Dec 2023
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes Shunxin Guo Hongsong Wang Xin Geng FedML 34 7 0 15 Dec 2023
Language-Guided Transformer for Federated Multi-Label Classification I-Jieh Liu Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 34 4 0 12 Dec 2023
Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights Ke Hu Weidong Qiu Peng Tang 30 0 0 12 Dec 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 76 33 0 25 Nov 2023
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning Dengke Yan Ming Hu Zeke Xia Yanxin Yang Jun Xia Xiaofei Xie Mingsong Chen FedML 13 5 0 22 Nov 2023
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence Shu Zheng Tiandi Ye Xiang Li Ming Gao FedML 10 1 0 21 Nov 2023
Concept Matching: Clustering-based Federated Continual Learning Xiaopeng Jiang Marcello Restelli FedML 34 0 0 12 Nov 2023
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification Baris Büyüktas Gencer Sumbul Begüm Demir FedML 34 6 0 10 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 36 2 0 08 Nov 2023
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things Hengliang Tang Zihang Zhao Detian Liu Yang Cao Shiqiang Zhang Siqing You 23 1 0 08 Nov 2023
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition Sara Pieri Jose Renato Restom Samuel Horvath Hisham Cholakkal FedML 24 8 0 23 Oct 2023
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution Marco Bornstein Amrit Singh Bedi Anit Kumar Sahu Furqan Khan Furong Huang FedML 16 0 0 20 Oct 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning Ensiye Kiyamousavi Boris Kraychev Ivan Koychev FedML 13 0 0 11 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Jindong Wang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 70 8 0 08 Oct 2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data Feng Zhu Jingjing Zhang Shengyun Liu Xin Wang FedML 24 1 0 04 Sep 2023
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation Chao Huang Geng Tian Ming Tang FedML 34 4 0 23 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 42 8 0 20 Aug 2023
Towards Instance-adaptive Inference for Federated Learning Chunhui Feng Kai Yu Nian Liu Xinxing Xu Salman Khan W. Zuo FedML 36 11 0 11 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
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data Zhuang Qi Lei Meng Zitan Chen Han Hu Hui Lin Xiangxu Meng FedML 26 18 0 07 Aug 2023
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence Ilkay Sikdokur Inci M. Baytas A. Yurdakul FedML 20 0 0 25 Jul 2023
FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning Leiming Chen Kai Wang Cihao Dong Sibo Qiao Ziling Huang Yuming Nie Zhaoxiang Hou C. Tan FedML 13 2 0 25 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators Sikai Bai Shuaicheng Li Weiming Zhuang Jie Zhang Song Guo Kunlin Yang Jun Hou Shuai Zhang Junyu Gao Shuai Yi FedML 26 6 0 11 Jul 2023
Towards Sybil Resilience in Decentralized Learning Thomas Werthenbach J. Pouwelse AAML 15 2 0 26 Jun 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization Yan Sun Li Shen Dacheng Tao FedML 20 14 0 09 Jun 2023
Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning Baris Büyüktas Gencer Sumbul Begüm Demir 24 14 0 01 Jun 2023
FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye Mingkai Xu Jianyu Wang Chenxin Xu Siheng Chen Yanfeng Wang FedML 35 61 0 30 May 2023
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging Meng Wang Lianyu Wang Xinxing Xu K. Zou Yiming Qian Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu OOD FedML 29 6 0 23 Mar 2023
Re-thinking Federated Active Learning based on Inter-class Diversity Sangmook Kim Sangmin Bae Hwanjun Song Se-Young Yun FedML 33 14 0 22 Mar 2023
Visual Prompt Based Personalized Federated Learning Guang-Ming Li Wansen Wu Yan Sun Li Shen Baoyuan Wu Dacheng Tao FedML VLM 23 18 0 15 Mar 2023
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss Tuong Khanh Long Do Binh X. Nguyen Hien Nguyen Erman Tjiputra Quang-Dieu Tran Te-Chuan Chiu A. Nguyen 35 0 0 11 Mar 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning Kai Zhang Yutong Dai Hongyi Wang Eric P. Xing Xun Chen Lichao Sun FedML 28 7 0 08 Mar 2023
FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning Wang Lu Xixu Hu Jindong Wang Xingxu Xie FedML VLM 27 52 0 27 Feb 2023