Federated Continual Learning with Weighted Inter-client Transfer

6 March 2020

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

42 / 92 papers shown

Title
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
Distributed Continual Learning with CoCoA in High-dimensional Linear Regression Martin Hellkvist Ayça Özçelikkale Anders Ahlén OOD 33 1 0 04 Dec 2023
Multi-Session Budget Optimization for Forward Auction-based Federated Learning Xiaoli Tang Han Yu 59 8 0 21 Nov 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks Sara Babakniya Zalan Fabian Chaoyang He Mahdi Soltanolkotabi Salman Avestimehr FedML CLL 21 29 0 13 Nov 2023
Concept Matching: Clustering-based Federated Continual Learning Xiaopeng Jiang Marcello Restelli FedML 26 0 0 12 Nov 2023
Coordinated Replay Sample Selection for Continual Federated Learning Jack Good Jimit Majmudar Christophe Dupuy Jixuan Wang Charith Peris Clement Chung Richard Zemel Rahul Gupta 20 2 0 23 Oct 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration Yixing Huang Christoph Bert Rostislav Makarov Alexander Alenin Andreas K. Maier F. Putz FedML CLL 19 1 0 29 Sep 2023
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning Yavuz Faruk Bakman D. Yaldiz Yahya H. Ezzeldin A. Avestimehr CLL FedML 25 15 0 03 Sep 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 47 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 26 10 0 10 Jul 2023
Exploring Continual Learning for Code Generation Models Prateek Yadav Q. Sun Hantian Ding Xiaopeng Li Dejiao Zhang ... Parminder Bhatia Ramesh Nallapati M. K. Ramanathan Mohit Bansal Bing Xiang CLL 32 30 0 05 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 27 25 0 27 Jun 2023
FedSampling: A Better Sampling Strategy for Federated Learning Tao Qi Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 15 5 0 25 Jun 2023
Fair yet Asymptotically Equal Collaborative Learning Xiaoqiang Lin Xinyi Xu See-Kiong Ng Chuan-Sheng Foo Bryan Kian Hsiang Low FedML 16 7 0 09 Jun 2023
Masked Autoencoders are Efficient Continual Federated Learners Subarnaduti Paul Lars-Joel Frey Roshni Kamath Kristian Kersting Martin Mundt CLL FedML 24 1 0 06 Jun 2023
Decentralized Federated Learning: A Survey and Perspective Liangqi Yuan Ziran Wang Lichao Sun Philip S. Yu Christopher G. Brinton FedML 34 85 0 02 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 32 4 0 02 Jun 2023
Lightweight Learner for Shared Knowledge Lifelong Learning Yunhao Ge Yuecheng Li Di Wu Ao Xu Adam M. Jones ... Gozde Sahin Shuo Ni Kiran Lekkala S. Sontakke Laurent Itti CLL 19 10 0 24 May 2023
Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning G. Legate Lucas Page-Caccia Eugene Belilovsky FedML 23 10 0 11 Apr 2023
Asynchronous Federated Continual Learning Donald Shenaj Marco Toldo Alberto Rigon Pietro Zanuttigh FedML CLL 18 34 0 07 Apr 2023
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 45 3 0 27 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
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting Kangyang Luo Xiang Li Yunshi Lan Ming Gao FedML 31 31 0 28 Feb 2023
Better Generative Replay for Continual Federated Learning Daiqing Qi Handong Zhao Sheng R. Li FedML 19 46 0 25 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 36 598 0 31 Jan 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 18 11 0 04 Jan 2023
FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge Yaxin Luopan Rui Han Qinglong Zhang Chi Harold Liu Guoren Wang FedML 23 18 0 04 Dec 2022
Knowledge-Aware Federated Active Learning with Non-IID Data Yu Cao Ye-ling Shi Baosheng Yu Jingya Wang Dacheng Tao FedML 21 17 0 24 Nov 2022
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening Kang Li Lequan Yu Pheng-Ann Heng CLL 24 22 0 09 Nov 2022
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing Marco Schreyer Hamed Hemati Damian Borth M. Vasarhelyi FedML 37 3 0 26 Oct 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 26 27 0 15 Jul 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 19 19 0 23 Feb 2022
Learnings from Federated Learning in the Real world Christophe Dupuy Tanya Roosta Leo Long Clement Chung Rahul Gupta A. Avestimehr FedML 20 10 0 08 Feb 2022
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 14 30 0 25 Dec 2021
Ex-Model: Continual Learning from a Stream of Trained Models Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu CLL 14 11 0 13 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead Marcos F. Criado F. Casado R. Iglesias Carlos V. Regueiro S. Barro FedML 26 76 0 26 Nov 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 19 35 0 07 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 206 542 0 30 Mar 2020
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 181 524 0 27 Jun 2012