Papers citing 'Federated Class-Incremental Learning with Prompting'

Title
FedGTEA: Federated Class-Incremental Learning with Gaussian Task Embedding and Alignment Haolin Li Hoda Bidkhori FedML 52 0 0 14 Oct 2025
STSA: Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation Zenghao Guan Guojun Zhu Yucan Zhou Wu Liu Weiping Wang Jiebo Luo Xiaoyan Gu 209 0 0 02 Jun 2025
A Survey on Federated Fine-tuning of Large Language Models Yebo Wu Chunlin Tian Jingguang Li He Sun Kahou Tam Zhanting Zhou Haicheng Liao Zhijiang Guo Li Li Chengzhong Xu FedML 367 11 0 15 Mar 2025
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning M. A. Ma'sum Mahardhika Pratama Savitha Ramasamy Lin Liu Habibullah Habibullah Ryszard Kowalczyk CLL 182 3 0 30 Jul 2024
Semi-decentralized Federated Ego Graph Learning for RecommendationThe Web Conference (WWW), 2023 Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 199 63 0 10 Feb 2023
Layer-wised Model Aggregation for Personalized Federated LearningComputer Vision and Pattern Recognition (CVPR), 2022 Xiaosong Ma Jie Zhang Song Guo Wenchao Xu FedML 197 234 0 09 May 2022
Class-Incremental Learning with Strong Pre-trained ModelsComputer Vision and Pattern Recognition (CVPR), 2022 Tz-Ying Wu Gurumurthy Swaminathan Zhizhong Li Avinash Ravichandran Nuno Vasconcelos Rahul Bhotika Stefano Soatto CLL 239 80 0 07 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature ConsolidationComputer Vision and Pattern Recognition (CVPR), 2022 Minsoo Kang Jaeyoo Park Bohyung Han CLL 179 226 0 02 Apr 2022
Federated Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2022 Jiahua Dong Lixu Wang Zhen Fang Gan Sun Shichao Xu Tianlin Li Qi Zhu CLL FedML 290 234 0 22 Mar 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated LearningComputer Vision and Pattern Recognition (CVPR), 2022 Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 156 342 0 17 Mar 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 275 1,027 0 16 Dec 2021
LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021 J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 1.4K 14,676 0 17 Jun 2021
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual UnderstandingAAAI Conference on Artificial Intelligence (AAAI), 2021 Zizhao Zhang Han Zhang Long Zhao Ting Chen Sercan O. Arik Tomas Pfister ViT 253 201 0 26 May 2021
FedProto: Federated Prototype Learning across Heterogeneous ClientsAAAI Conference on Artificial Intelligence (AAAI), 2021 Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 468 677 0 01 May 2021
The Power of Scale for Parameter-Efficient Prompt TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Brian Lester Rami Al-Rfou Noah Constant VPVLM 1.2K 4,827 0 18 Apr 2021
On Learning the Geodesic Path for Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2021 Christian Simon Piotr Koniusz Mehrtash Harandi CLL 143 143 0 17 Apr 2021
Distilling Causal Effect of Data in Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2021 Xinting Hu Kaihua Tang Chunyan Miao Xiansheng Hua Hanwang Zhang CML 383 197 0 02 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model PersonalizationThe Web Conference (WWW), 2021 Bingyan Liu Yao Guo Xiangqun Chen FedML 162 101 0 02 Mar 2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNsThe Web Conference (WWW), 2021 Dongyuan Li Hao Peng Hongzhi Zhang Yingtong Dou Jianxin Li Philip S. Yu 137 111 0 21 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Xiang Lisa Li Abigail Z. Jacobs 593 5,089 0 01 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 1.2K 53,306 0 22 Oct 2020
AdapterFusion: Non-Destructive Task Composition for Transfer LearningConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020 Jonas Pfeiffer Aishwarya Kamath Andreas Rucklé Dong Wang Iryna Gurevych CLL MoMe 700 1,002 0 01 May 2020
SS-IL: Separated Softmax for Incremental LearningIEEE International Conference on Computer Vision (ICCV), 2020 Hongjoon Ahn Jihwan Kwak S. Lim Hyeonsu Bang Hyojun Kim Taesup Moon CLL 340 201 0 31 Mar 2020
K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersFindings (Findings), 2020 Ruize Wang Duyu Tang Nan Duan Zhongyu Wei Xuanjing Huang Jianshu Ji Guihong Cao Daxin Jiang Ming Zhou KELM 404 586 0 05 Feb 2020
Compacting, Picking and Growing for Unforgetting Continual LearningNeural Information Processing Systems (NeurIPS), 2019 Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 302 345 0 15 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy ConstraintsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Felix Sattler K. Müller Wojciech Samek FedML 400 1,215 0 04 Oct 2019
Large Scale Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2019 Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 249 1,396 0 30 May 2019
Gradient based sample selection for online continual learningNeural Information Processing Systems (NeurIPS), 2019 Rahaf Aljundi Min Lin Baptiste Goujaud Yoshua Bengio BDL CLL 421 930 0 20 Mar 2019
Continual Learning via Neural Pruning Siavash Golkar Michael Kagan Dong Wang CLL 151 168 0 11 Mar 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 789 6,487 0 14 Dec 2018
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 231 187 0 16 Oct 2018
Progress & Compress: A scalable framework for continual learning Jonathan Richard Schwarz Jelena Luketina Wojciech M. Czarnecki A. Grabska-Barwinska Yee Whye Teh Razvan Pascanu R. Hadsell CLL 366 952 0 16 May 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 234 1,821 0 27 Nov 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwols David R Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra 232 925 0 30 Jan 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 937 8,615 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 558 4,267 0 23 Nov 2016
Learning without ForgettingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 Zhizhong Li Derek Hoiem CLL OOD SSL 903 5,008 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 346 2,652 0 15 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 1.3K 21,022 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.5K 214,123 0 10 Dec 2015