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 32 10 0 17 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning Jiahua Dong Wenqi Liang Yang Cong Gan Sun CLL 26 19 0 07 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
Self-paced Weight Consolidation for Continual Learning Wei Cong Yang Cong Gan Sun Yuyang Liu Jiahua Dong CLL 29 14 0 20 Jul 2023
Gradient-Semantic Compensation for Incremental Semantic Segmentation Wei Cong Yang Cong Jiahua Dong Gan Sun Henghui Ding CLL VLM 34 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 34 49 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 34 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 22 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 29 25 0 27 Jun 2023
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yu-Hu Yan Lei Zhu FedML OOD 32 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 Zhang Jingren Zhou KELM 43 4 0 02 Jun 2023
Federated Incremental Semantic Segmentation Jiahua Dong Duzhen Zhang Yang Cong Wei Cong Henghui Ding Dengxin Dai FedML 34 39 0 10 Apr 2023
Asynchronous Federated Continual Learning Donald Shenaj Marco Toldo Alberto Rigon Pietro Zanuttigh FedML CLL 26 34 0 07 Apr 2023
Towards Adversarially Robust Continual Learning Tao Bai Chen Chen Lingjuan Lyu Jun Zhao B. Wen AAML 29 8 0 31 Mar 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
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 24 20 0 24 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
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 33 100 0 13 Mar 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation Jie M. Zhang Chen Chen Weiming Zhuang Lingjuan Lv CLL FedML 33 45 0 13 Mar 2023
Better Generative Replay for Continual Federated Learning Daiqing Qi Handong Zhao Sheng Li FedML 27 47 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 18 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 21 98 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 37 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 18 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 46 606 0 31 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains Chenxi Liu Lixu Wang Lingjuan Lyu Chen Sun Tianlin Li Qi Zhu CLL OOD 33 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 29 4 0 14 Jan 2023
Accelerating Dataset Distillation via Model Augmentation Lei Zhang Jie M. Zhang Bowen Lei Subhabrata Mukherjee Xiang Pan Bo Zhao Caiwen Ding Heng Chang Dongkuan Xu DD 43 62 0 12 Dec 2022
A Strong Baseline for Generalized Few-Shot Semantic Segmentation Sina Hajimiri Malik Boudiaf Ismail Ben Ayed Jose Dolz VLM 22 27 0 25 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity Mingjie Wang Jianxiong Guo Weijia Jia 26 6 0 14 Nov 2022
Differentially Private Federated Learning with Local Regularization and Sparsification Anda Cheng Peisong Wang Xi Sheryl Zhang Jian Cheng FedML 22 71 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 25 22 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 25 115 0 06 Jun 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 176 175 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 168 787 0 15 Feb 2021
Unbiased Mean Teacher for Cross-domain Object Detection Jinhong Deng Wen Li Yuhua Chen Lixin Duan 79 286 0 02 Mar 2020