Overcoming Forgetting in Federated Learning on Non-IID Data

17 October 2019

Papers citing "Overcoming Forgetting in Federated Learning on Non-IID Data"

49 / 49 papers shown

Title
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data Yuting He Yiqiang Chen Xiaodong Yang H. Yu Yi-Hua Huang Yang Gu FedML 63 20 0 20 Apr 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori Il Kim Guanghui CLL 70 1 0 26 Jan 2025
Federated Learning with Label-Masking Distillation Jianghu Lu Shikun Li Kexin Bao Pengju Wang Zhenxing Qian Shiming Ge FedML 47 10 0 20 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning Shenghong Dai Jy-yong Sohn Yicong Chen S. Alam Ravikumar Balakrishnan Suman Banerjee N. Himayat Kangwook Lee FedML 75 2 0 03 Sep 2024
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy Jingyun Chen Martin King Yading Yuan OOD 13 0 0 17 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm Zhixu Tao Rajita Chandak Sanjeev R. Kulkarni FedML 35 0 0 11 Aug 2024
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis Sufen Ren Yule Hu Shengchao Chen Guanjun Wang 34 1 0 02 Jul 2024
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition Yuxuan Yan Qianqian Yang Shunpu Tang Zhiguo Shi 38 13 0 29 Apr 2024
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning Michael Duchesne Kaiwen Zhang Talhi Chamseddine FedML 34 0 0 20 Apr 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning Changlin Song Divya Saxena Jiannong Cao Yuqing Zhao FedML 42 3 0 14 Apr 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Lei Wang Jieming Bian Letian Zhang Chong Chen Jie Xu 37 7 0 14 Mar 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 36 31 0 27 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
Improving Machine Learning Robustness via Adversarial Training Long Dang T. Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 38 2 0 22 Sep 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
FedYolo: Augmenting Federated Learning with Pretrained Transformers Xuechen Zhang Mingchen Li Xiangyu Chang Jiasi Chen A. Roy-Chowdhury A. Suresh Samet Oymak FedML 31 7 0 10 Jul 2023
Federated Learning with Classifier Shift for Class Imbalance Yunheng Shen Haoxiang Wang Hairong Lv FedML 6 5 0 11 Apr 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction Chun-Mei Feng Bangjun Li Xinxing Xu Yong Liu Huazhu Fu W. Zuo FedML 32 42 0 28 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
PAseos Simulates the Environment for Operating multiple Spacecraft Pablo Gómez Johan Ostman V. M. Shreenath Gabriele Meoni 18 5 0 06 Feb 2023
FedCliP: Federated Learning with Client Pruning Beibei Li Zerui Shao Ao Liu Peiran Wang FedML 45 1 0 17 Jan 2023
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer Hamed Hemati Damian Borth M. Vasarhelyi FedML 42 3 0 26 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 35 7 0 06 Oct 2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization Junjiao Tian James Smith Z. Kira 19 3 0 21 Sep 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning Ali Bereyhi Adela Vagollari S. Asaad R. Muller W. Gerstacker H. Vincent Poor 23 6 0 14 Jun 2022
Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang Ashwinee Panda Linyue Song Yaoqing Yang Michael W. Mahoney Joseph E. Gonzalez Kannan Ramchandran Prateek Mittal FedML 38 130 0 12 Jun 2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu Zhao Wang Xiaoxiao Li Gang Niu Qianming Dou Masashi Sugiyama FedML 27 40 0 07 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 47 11 0 25 Mar 2022
Federated Class-Incremental Learning Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Tianlin Li Qi Zhu CLL FedML 27 168 0 22 Mar 2022
Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu Zhiwei Hong Minlie Huang Tao Jiang FedML 24 45 0 05 Mar 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning Shuang Dai Fanlin Meng FedML OnRL 40 21 0 07 Feb 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 22 30 0 25 Dec 2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning Mustafa Safa Ozdayi Murat Kantarcioglu FedML OOD 24 4 0 29 Nov 2021
Towards More Efficient Federated Learning with Better Optimization Objects Zirui Zhu Ziyi Ye FedML 16 0 0 19 Aug 2021
Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo Vyacheslav Kungurtsev Adam D. Cobb T. Javidi Brian Jalaian 51 4 0 15 Jul 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 33 42 0 29 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 27 81 0 24 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 841 0 01 Mar 2021
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 23 106 0 24 Dec 2020
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 39 52 0 18 Dec 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 51 158 0 17 Sep 2020
Evaluation of Federated Learning in Phishing Email Detection Chandra Thapa Jun Tang A. Abuadbba Yansong Gao S. Çamtepe Surya Nepal Mahathir Almashor Yifeng Zheng FedML 17 16 0 27 Jul 2020
FedFMC: Sequential Efficient Federated Learning on Non-iid Data Kavya Kopparapu Eric Lin FedML 6 34 0 19 Jun 2020
FedCD: Improving Performance in non-IID Federated Learning Kavya Kopparapu Eric Lin Jessica Zhao FedML 21 35 0 17 Jun 2020
Federated Continual Learning with Weighted Inter-client Transfer Jaehong Yoon Wonyoung Jeong Giwoong Lee Eunho Yang Sung Ju Hwang FedML 40 199 0 06 Mar 2020
An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices Rei Ito Mineto Tsukada Hiroki Matsutani FedML 21 7 0 27 Feb 2020
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 6 558 0 01 Oct 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018