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No One Left Behind: Real-World Federated Class-Incremental Learning

No One Left Behind: Real-World Federated Class-Incremental Learning

2 February 2023
Jiahua Dong
Hongliu Li
Yang Cong
Gan Sun
Yulun Zhang
Dengxin Dai
    FedML
    CLL
ArXivPDFHTML

Papers citing "No One Left Behind: Real-World Federated Class-Incremental Learning"

12 / 12 papers shown
Title
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
Xiuwen Fang
Mang Ye
Bo Du
FedML
66
1
0
12 Mar 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
121
0
0
18 Dec 2024
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
Satish Kumar Keshri
Nazreen Shah
Ranjitha Prasad
FedML
33
0
0
12 Nov 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
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
39
2
0
23 Oct 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
43
1
0
22 May 2024
Federated Continual Learning via Knowledge Fusion: A Survey
Federated Continual Learning via Knowledge Fusion: A Survey
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
30
31
0
27 Dec 2023
Asynchronous Federated Continual Learning
Asynchronous Federated Continual Learning
Donald Shenaj
Marco Toldo
Alberto Rigon
Pietro Zanuttigh
FedML
CLL
18
34
0
07 Apr 2023
IDEAL: Query-Efficient Data-Free Learning from Black-box Models
IDEAL: Query-Efficient Data-Free Learning from Black-box Models
Jie M. Zhang
Chen Chen
Lingjuan Lyu
55
14
0
23 May 2022
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
C. Miao
Xiansheng Hua
Hanwang Zhang
CML
176
175
0
02 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
Incremental Object Detection via Meta-Learning
Incremental Object Detection via Meta-Learning
K. J. Joseph
Jathushan Rajasegaran
Salman Khan
F. Khan
V. Balasubramanian
ObjD
CLL
VLM
177
98
0
17 Mar 2020
Unbiased Mean Teacher for Cross-domain Object Detection
Unbiased Mean Teacher for Cross-domain Object Detection
Jinhong Deng
Wen Li
Yuhua Chen
Lixin Duan
79
286
0
02 Mar 2020
1