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A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated
  Class Incremental Learning for Vision Tasks

A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks

13 November 2023
Sara Babakniya
Zalan Fabian
Chaoyang He
Mahdi Soltanolkotabi
Salman Avestimehr
    FedML
    CLL
ArXivPDFHTML

Papers citing "A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks"

20 / 20 papers shown
Title
Federated Continual 3D Segmentation With Single-round Communication
Federated Continual 3D Segmentation With Single-round Communication
Can Peng
Qianhui Men
Pramit Saha
Qianye Yang
Cheng Ouyang
J. A. Noble
FedML
51
0
0
19 Mar 2025
Federated Continual Instruction Tuning
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
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
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
0
0
26 Jan 2025
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence
Yichen Li
Yuying Wang
Tianzhe Xiao
Haozhao Wang
Yining Qi
Ruixuan Li
114
1
0
18 Dec 2024
Review of Mathematical Optimization in Federated Learning
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
67
0
0
02 Dec 2024
Using Diffusion Models as Generative Replay in Continual Federated
  Learning -- What will Happen?
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
29
0
0
10 Nov 2024
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
Weibin Liao
Xu Chu
Yasha Wang
LRM
40
6
0
10 Oct 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Cuiwei Liu
Siang Xu
Huaijun Qiu
Jing Zhang
Zhi Liu
Liang Zhao
CLL
27
0
0
18 Sep 2024
Buffer-based Gradient Projection for Continual Federated Learning
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
60
2
0
03 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in
  Federated Class Continual Learning
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
35
7
0
02 Sep 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental
  Learning via Federated Global Twin Generator
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Thinh Nguyen
Khoa D. Doan
Binh T. Nguyen
Danh Le-Phuoc
Kok-Seng Wong
FedML
30
0
0
13 Jul 2024
Federated Continual Learning Goes Online: Leveraging Uncertainty for
  Modality-Agnostic Class-Incremental Learning
Federated Continual Learning Goes Online: Leveraging Uncertainty for Modality-Agnostic Class-Incremental Learning
Giuseppe Serra
Florian Buettner
CLL
FedML
44
0
0
29 May 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based
  Generative Memory
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
Naibo Wang
Yuchen Deng
Wenjie Feng
Jianwei Yin
See-Kiong Ng
DiffM
FedML
34
1
0
22 May 2024
Rehearsal-free Federated Domain-incremental Learning
Rehearsal-free Federated Domain-incremental Learning
Rui Sun
Haoran Duan
Jiahua Dong
Varun Ojha
Tejal Shah
R. Ranjan
CLL
38
1
0
22 May 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental
  Learning
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
Minh-Tuan Tran
Trung Le
Xuan-May Le
Mehrtash Harandi
Dinh Q. Phung
CLL
27
6
0
21 Mar 2024
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic
  Learning
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning
Niklas Babendererde
Moritz Fuchs
Camila González
Yuri Tolkach
Anirban Mukhopadhyay
OOD
FedML
13
2
0
01 Sep 2023
FedSpeech: Federated Text-to-Speech with Continual Learning
FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang
Yi Ren
Ming Lei
Zhou Zhao
FedML
93
23
0
14 Oct 2021
Continual Distributed Learning for Crisis Management
Continual Distributed Learning for Crisis Management
Aman Priyanshu
Mudit Sinha
S. Mehta
21
4
0
26 Apr 2021
Adversarial Continual Learning
Adversarial Continual Learning
Sayna Ebrahimi
Franziska Meier
Roberto Calandra
Trevor Darrell
Marcus Rohrbach
CLL
VLM
147
197
0
21 Mar 2020
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
432
0
04 Mar 2020
1