Federated Class-Incremental Learning

22 March 2022

Papers citing "Federated Class-Incremental Learning"

36 / 86 papers shown

Title
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition Duzhen Zhang Hongliu Li Wei Cong Rongtao Xu Jiahua Dong Xiuyi Chen CLL 19 10 0 17 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning Jiahua Dong Wenqi Liang Yang Cong Gan Sun CLL 19 19 0 07 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Xiangtai Li Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Bernard Ghanem CLL 22 8 0 03 Aug 2023
Self-paced Weight Consolidation for Continual Learning Wei Cong Yang Cong Gan Sun Yuyang Liu Jiahua Dong CLL 22 14 0 20 Jul 2023
Gradient-Semantic Compensation for Incremental Semantic Segmentation Wei Cong Yang Cong Jiahua Dong Gan Sun Henghui Ding CLL VLM 10 12 0 20 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 45 0 16 Jul 2023
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning Gaurav R. Bagwe Xiaoyong Yuan Miao Pan Lan Zhang VLM FedML CLL 21 10 0 10 Jul 2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML 14 2 0 02 Jul 2023
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer Chenghao Liu Xiaoyang Qu Jianzong Wang Jing Xiao CLL FedML 16 25 0 27 Jun 2023
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yu-Hu Yan Lei Zhu FedML OOD 17 10 0 14 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions Leijie Wu Song Guo Junxiao Wang Zicong Hong Jie M. Zhang Jingren Zhou KELM 24 4 0 02 Jun 2023
Federated Incremental Semantic Segmentation Jiahua Dong Duzhen Zhang Yang Cong Wei Cong Henghui Ding Dengxin Dai FedML 27 38 0 10 Apr 2023
Asynchronous Federated Continual Learning Donald Shenaj Marco Toldo Alberto Rigon Pietro Zanuttigh FedML CLL 14 34 0 07 Apr 2023
Towards Adversarially Robust Continual Learning Tao Bai Chen Chen Lingjuan Lyu Jun Zhao B. Wen AAML 13 8 0 31 Mar 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction Chun-Mei Feng Bangjun Li Xinxing Xu Yong Liu H. Fu W. Zuo FedML 19 41 0 28 Mar 2023
Hard Sample Matters a Lot in Zero-Shot Quantization Huantong Li Xiangmiao Wu Fanbing Lv Daihai Liao Thomas H. Li Yonggang Zhang Bo Han Mingkui Tan MQ 14 17 0 24 Mar 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 31 13 0 21 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need Da-Wei Zhou Han-Jia Ye De-Chuan Zhan Ziwei Liu CLL 28 99 0 13 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation Jie M. Zhang Chen Chen Weiming Zhuang Lingjuan Lv CLL FedML 14 45 0 13 Mar 2023
Better Generative Replay for Continual Federated Learning Daiqing Qi Handong Zhao Sheng R. Li FedML 6 46 0 25 Feb 2023
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation Jiahua Dong Yang Cong Gan Sun Lixu Wang Lingjuan Lyu Jun Li E. Konukoglu CLL 3DPC 13 15 0 20 Feb 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo Yiming Li Xun Chen Hanqing Guo Lichao Sun Cong Liu AAML MLAU 11 94 0 07 Feb 2023
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation Yumin Zhang Yajun Gao Hongliu Li Ating Yin Duzhen Zhang Xiuyi Chen 26 0 0 03 Feb 2023
No One Left Behind: Real-World Federated Class-Incremental Learning Jiahua Dong Hongliu Li Yang Cong Gan Sun Yulun Zhang Dengxin Dai FedML CLL 13 38 0 02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 19 585 0 31 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains Chenxi Liu Lixu Wang Lingjuan Lyu Chen Sun Xiao Wang Qi Zhu CLL OOD 16 22 0 25 Jan 2023
Knowledge Distillation in Federated Edge Learning: A Survey Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Xue Jiang Runhan Li Bo Gao FedML 22 4 0 14 Jan 2023
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo-Lu Zhao Caiwen Ding Y. Li Dongkuan Xu DD 10 62 0 12 Dec 2022
A Strong Baseline for Generalized Few-Shot Semantic Segmentation Sina Hajimiri Malik Boudiaf Ismail Ben Ayed Jose Dolz VLM 6 27 0 25 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity Mingjie Wang Jianxiong Guo Weijia Jia 11 6 0 14 Nov 2022
Differentially Private Federated Learning with Local Regularization and Sparsification Anda Cheng Peisong Wang Xi Sheryl Zhang Jian Cheng FedML 12 70 0 07 Mar 2022
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers Jiahao Lu Xi Sheryl Zhang Tianli Zhao Xiangyu He Jian Cheng ViT PILM 12 20 0 28 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 20 112 0 06 Jun 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 163 174 0 02 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 770 0 15 Feb 2021
Unbiased Mean Teacher for Cross-domain Object Detection Jinhong Deng Wen Li Yuhua Chen Lixin Duan 73 280 0 02 Mar 2020