Federated Continual Learning with Weighted Inter-client Transfer

6 March 2020

Papers citing "Federated Continual Learning with Weighted Inter-client Transfer"

50 / 92 papers shown

Title
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices Zhengyi Zhong Weidong Bao Ji Wang Jianguo Chen Lingjuan Lyu Wei Yang Bryan Lim CLL 41 0 0 01 May 2025
Explainability and Continual Learning meet Federated Learning at the Network Edge Thomas Tsouparopoulos Iordanis Koutsopoulos FedML 34 0 0 11 Apr 2025
Global Convergence of Continual Learning on Non-IID Data Fei Zhu Yujing Liu Wenzhuo Liu Zhaoxiang Zhang 40 0 0 24 Mar 2025
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL Xiaoming Qi Jingyang Zhang H. Fu Guanyu Yang Shuo Li Yueming Jin FedML 57 0 0 23 Mar 2025
Federated Continual Instruction Tuning Haiyang Guo Fanhu Zeng Fei Zhu Wenzhuo Liu Da-Han Wang Jian Xu Xu-Yao Zhang Cheng-Lin Liu CLL FedML 63 1 0 17 Mar 2025
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours Nikhil Churamani Saksham Checker Fethiye Irmak Dogan Hao-Tien Lewis Chiang Hatice Gunes FedML 91 1 0 24 Feb 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 58 0 0 21 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 108 8 0 20 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 81 4 0 14 Feb 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting M. Nori Il Kim Guanghui CLL 60 1 0 26 Jan 2025
Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity Niklas Babendererde Haozhe Zhu Moritz Fuchs J. Stieber Anirban Mukhopadhyay FedML OOD 33 0 0 08 Jan 2025
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Junying Chen Zhenyang Cai Ke Ji X. Wang Wanlong Liu Rongsheng Wang Jianye Hou Benyou Wang LRM 30 0 0 25 Dec 2024
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li Yuying Wang Tianzhe Xiao Haozhao Wang Yining Qi Ruixuan Li 121 1 0 18 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 70 0 0 02 Dec 2024
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning Luca Palazzo M. Pennisi Federica Proietto Salanitri Giovanni Bellitto S. Palazzo C. Spampinato FedML 26 0 0 14 Nov 2024
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients Satish Kumar Keshri Nazreen Shah Ranjitha Prasad FedML 30 0 0 12 Nov 2024
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen? Yongsheng Mei Liangqi Yuan Dong-Jun Han Kevin S. Chan Christopher G. Brinton Tian-Shing Lan 36 0 0 10 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 31 0 0 04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework Yuchen He Chuyun Shen Xiangfeng Wang Bo Jin FedML 23 1 0 04 Nov 2024
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning Chen Gong Zhenzhe Zheng Fan Wu Xiaofeng Jia Guihai Chen LMTD FedML 34 2 0 24 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 31 2 0 23 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 57 0 0 03 Oct 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 32 0 0 18 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
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 39 7 0 02 Sep 2024
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing Kenneth Stewart Michael Neumeier Sumit Bam Shrestha Garrick Orchard Emre Neftci 35 0 0 28 Aug 2024
Fishers Harvest Parallel Unlearning in Inherited Model Networks Xiao Liu Mingyuan Li Xu Wang Guangsheng Yu Wei Ni Lixiang Li Haipeng Peng Renping Liu MoMe MU AI4CE 38 2 0 16 Aug 2024
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning M. A. Ma'sum Mahardhika Pratama Savitha Ramasamy Lin Liu Habibullah Habibullah Ryszard Kowalczyk CLL 26 0 0 30 Jul 2024
Reducing Spurious Correlation for Federated Domain Generalization Shuran Ma Weiying Xie Daixun Li Haowei Li Yunsong Li OOD FedML 49 1 0 27 Jul 2024
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching Yichen Li Wenchao Xu Haozhao Wang Ruixuan Li Yining Qi Jingcai Guo CLL 30 13 0 06 Jul 2024
Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation Dunyuan Xu Xi Wang Jingyang Zhang Pheng-Ann Heng MedIm CLL 93 0 0 26 Jun 2024
Parameterizing Federated Continual Learning for Reproducible Research Bart Cox Jeroen Galjaard Aditya Shankar Jérémie Decouchant Lydia Y. Chen FedML 35 0 0 04 Jun 2024
Towards Client Driven Federated Learning Songze Li Chenqing Zhu FedML 38 0 0 24 May 2024
Distributed Continual Learning Long Le Marcel Hussing Eric Eaton CLL FedML 26 2 0 23 May 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 48 1 0 23 May 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory Naibo Wang Yuchen Deng Wenjie Feng Jianwei Yin See-Kiong Ng DiffM FedML 39 1 0 22 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare Xingyu Li Lu Peng Yuping Wang Weihua Zhang AI4CE MedIm LM&MA 66 5 0 10 May 2024
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer Xin Gao Xin Yang Hao Yu Yan Kang Tianrui Li CLL 38 1 0 04 May 2024
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory Jingru Xie Chenqi Zhu Songze Li FedML CLL 32 0 0 19 Apr 2024
Continual Learning for Smart City: A Survey Li Yang Zhipeng Luo Shi-sheng Zhang Fei Teng Tian-Jie Li HAI 30 8 0 01 Apr 2024
Dual-Personalizing Adapter for Federated Foundation Models Yiyuan Yang Guodong Long Taoshu Shen Jing Jiang Michael Blumenstein 86 19 0 28 Mar 2024
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server Fei Li C. K. Loo W. S. Liew Xiaofeng Liu FedML 19 0 0 21 Mar 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning Minh-Tuan Tran Trung Le Xuan-May Le Mehrtash Harandi Dinh Q. Phung CLL 32 6 0 21 Mar 2024
Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments Saksham Checker Nikhil Churamani Hatice Gunes FedML 18 3 0 12 Mar 2024
Towards Efficient Replay in Federated Incremental Learning Yichen Li Qunwei Li Haozhao Wang Ruixuan Li Leon Wenliang Zhong Guannan Zhang 37 13 0 09 Mar 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures Lixu Wang Yang Zhao Jiahua Dong Ating Yin Qinbin Li Xiao Wang Dusit Niyato Qi Zhu FedML 74 2 0 03 Feb 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning Haiyang Guo Fei Zhu Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 27 6 0 04 Jan 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 28 31 0 27 Dec 2023
Federated Continual Novel Class Learning Lixu Wang Chenxi Liu Junfeng Guo Jiahua Dong Xiao Wang Heng-Chiao Huang Qi Zhu CLL FedML 32 2 0 21 Dec 2023
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes Shunxin Guo Hongsong Wang Xin Geng FedML 26 7 0 15 Dec 2023