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2312.16475
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Federated Continual Learning via Knowledge Fusion: A Survey
27 December 2023
Xin Yang
Hao Yu
Xin Gao
Hao Wang
Junbo Zhang
Tianrui Li
FedML
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Papers citing
"Federated Continual Learning via Knowledge Fusion: A Survey"
27 / 27 papers shown
Title
Enhancing Trust Management System for Connected Autonomous Vehicles Using Machine Learning Methods: A Survey
Qian Xu
Lei Zhang
Y. Liu
29
0
0
10 May 2025
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
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
65
1
0
17 Mar 2025
Orthogonal Calibration for Asynchronous Federated Learning
Jiayun Zhang
Shuheng Li
Haiyu Huang
Xiaofan Yu
Rajesh K. Gupta
Jingbo Shang
FedML
62
0
0
21 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
83
4
0
14 Feb 2025
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
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
107
3
0
19 Nov 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
36
0
0
12 Nov 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey
Dianzhi Yu
Xinni Zhang
Yankai Chen
Aiwei Liu
Yifei Zhang
Philip S. Yu
Irwin King
VLM
CLL
44
9
0
07 Oct 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
44
7
0
02 Sep 2024
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Anna Lackinger
P. Frangoudis
Ivan vCilić
Alireza Furutanpey
Ilir Murturi
Ivana Podnar vZarko
Schahram Dustdar
FedML
38
4
0
23 Jul 2024
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
35
0
0
13 Jul 2024
Synergizing Foundation Models and Federated Learning: A Survey
Shenghui Li
Fanghua Ye
Meng Fang
Jiaxu Zhao
Yun-Hin Chan
Edith C. -H. Ngai
Thiemo Voigt
AI4CE
57
5
0
18 Jun 2024
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
Xin Gao
Xin Yang
Hao Yu
Yan Kang
Tianrui Li
CLL
47
1
0
04 May 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
76
2
0
03 Feb 2024
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
Yan Kang
Hanlin Gu
Xingxing Tang
Yuanqin He
Yuzhu Zhang
Jinnan He
Yuxing Han
Lixin Fan
Kai Chen
Qiang Yang
FedML
65
18
0
29 Apr 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
84
47
0
21 Feb 2023
Continual Training of Language Models for Few-Shot Learning
Zixuan Ke
Haowei Lin
Yijia Shao
Hu Xu
Lei Shu
Bin Liu
KELM
BDL
CLL
87
34
0
11 Oct 2022
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke
Bing-Quan Liu
Nianzu Ma
Hu Xu
Lei Shu
CLL
186
122
0
05 Dec 2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Yingda Xia
Dong Yang
Wenqi Li
Andriy Myronenko
Daguang Xu
...
Elvira Stellato
G. Carrafiello
A. Ierardi
Alan Yuille
H. Roth
OOD
FedML
44
46
0
20 Apr 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
355
0
07 Dec 2020
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
182
326
0
19 Mar 2020
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,705
0
18 Mar 2020
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
434
0
04 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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