Acceleration of Federated Learning with Alleviated Forgetting in Local Training

5 March 2022

Papers citing "Acceleration of Federated Learning with Alleviated Forgetting in Local Training"

29 / 29 papers shown

Title
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Sara Alosaime Arshad Jhumka 2 0 0 19 May 2025
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 69 21 0 20 Apr 2025
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Yingchao Wang Wenqi Niu 99 0 0 30 Nov 2024
Federated Impression for Learning with Distributed Heterogeneous Data Atrin Arya Sana Ayromlou Armin Saadat Purang Abolmaesumi Xiaoxiao Li FedML OOD 31 0 0 11 Sep 2024
An Element-Wise Weights Aggregation Method for Federated Learning Yi Hu Hanchi Ren Chen Hu Jingjing Deng Xianghua Xie FedML 29 3 0 24 Apr 2024
KoReA-SFL: Knowledge Replay-based Split Federated Learning Against Catastrophic Forgetting Zeke Xia Ming Hu Dengke Yan Ruixuan Liu Anran Li Xiaofei Xie Mingsong Chen CLL 32 1 0 19 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
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 37 3 0 08 Feb 2024
Relaxed Contrastive Learning for Federated Learning Seonguk Seo Jinkyu Kim Geeho Kim Bohyung Han FedML 44 8 0 10 Jan 2024
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 36 5 0 10 Dec 2023
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning Pengchao Han Xingyan Shi Jianwei Huang FedML 36 3 0 28 Nov 2023
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning Gihun Lee Minchan Jeong Sangmook Kim Jaehoon Oh Se-Young Yun FedML 26 8 0 24 Aug 2023
Towards Instance-adaptive Inference for Federated Learning Chunhui Feng Kai Yu Nian Liu Xinxing Xu Salman Khan W. Zuo FedML 39 11 0 11 Aug 2023
Feature Matching Data Synthesis for Non-IID Federated Learning Zijian Li Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang 28 20 0 09 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 36 49 0 16 Jul 2023
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Dinesh Manocha Xinmei Tian Dacheng Tao 38 0 0 16 Jun 2023
Personalized Federated Learning under Mixture of Distributions Yue Wu Shuaicheng Zhang Wenchao Yu Yanchi Liu Quanquan Gu Dawei Zhou Haifeng Chen Wei Cheng FedML 82 40 0 01 May 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Caccia Eugene Belilovsky FedML 36 10 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
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting Kangyang Luo Xiang Li Yunshi Lan Ming Gao FedML 36 33 0 28 Feb 2023
FedCliP: Federated Learning with Client Pruning Beibei Li Zerui Shao Ao Liu Peiran Wang FedML 45 1 0 17 Jan 2023
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 30 28 0 29 Sep 2022
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization Junjiao Tian James Smith Z. Kira 21 3 0 21 Sep 2022
SphereFed: Hyperspherical Federated Learning Xin Dong S. Zhang Ang Li H. T. Kung FedML 47 19 0 19 Jul 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen A. Frikha Denis Krompass Jindong Gu Volker Tresp OOD 30 24 0 30 May 2022
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 22 30 0 25 Dec 2021
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning Gihun Lee Minchan Jeong Yongjin Shin Sangmin Bae Se-Young Yun FedML 33 116 0 06 Jun 2021
FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition Hanchi Ren Jingjing Deng Xianghua Xie Xiaoke Ma Yi-Cheng Wang FedML 19 11 0 14 Jul 2020