A distillation-based approach integrating continual learning and
federated learning for pervasive services

A distillation-based approach integrating continual learning and federated learning for pervasive services

9 September 2021

Anastasiia Usmanova

Franccois Portet

Papers citing "A distillation-based approach integrating continual learning and federated learning for pervasive services"

13 / 13 papers shown

Title
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J.N. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 119 8 0 20 Feb 2025
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 36 31 0 27 Dec 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 25 2 0 23 Oct 2023
Evaluation of Regularization-based Continual Learning Approaches: Application to HAR B. Kann Sandra Castellanos-Paez P. Lalanda 21 3 0 26 Apr 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
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 53 3 0 27 Mar 2023
Better Generative Replay for Continual Federated Learning Daiqing Qi Handong Zhao Sheng Li FedML 27 47 0 25 Feb 2023
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare Yiqiang Chen Wang Lu Xin Qin Jindong Wang Xing Xie FedML 41 58 0 17 Jun 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 39 51 0 22 Feb 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 58 14 0 26 Jan 2022
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 22 30 0 25 Dec 2021
Ex-Model: Continual Learning from a Stream of Trained Models Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu CLL 19 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 38 76 0 26 Nov 2021