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Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead

Non-IID data and Continual Learning processes in Federated Learning: A long road ahead

26 November 2021
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
    FedML
ArXivPDFHTML

Papers citing "Non-IID data and Continual Learning processes in Federated Learning: A long road ahead"

25 / 25 papers shown
Title
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL
Xiaoming Qi
Jingyang Zhang
H. Fu
Guanyu Yang
Shuo Li
Yueming Jin
FedML
57
0
0
23 Mar 2025
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
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics,
  Methods, Frameworks and Future Directions
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
84
0
0
19 Nov 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
29
1
0
19 Oct 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
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Anna Lackinger
P. Frangoudis
Ivan vCilić
Alireza Furutanpey
Ilir Murturi
Ivana Podnar vZarko
Schahram Dustdar
FedML
29
4
0
23 Jul 2024
Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred
  Approach
Towards Privacy-Aware and Personalised Assistive Robots: A User-Centred Approach
Fernando E. Casado
16
1
0
23 May 2024
Variational Bayes for Federated Continual Learning
Variational Bayes for Federated Continual Learning
Dezhong Yao
Sanmu Li
Yutong Dai
Zhiqiang Xu
Shengshan Hu
Peilin Zhao
Lichao Sun
FedML
37
1
0
23 May 2024
FedProK: Trustworthy Federated Class-Incremental Learning via
  Prototypical Feature Knowledge Transfer
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
Xin Gao
Xin Yang
Hao Yu
Yan Kang
Tianrui Li
CLL
33
1
0
04 May 2024
Towards Efficient Replay in Federated Incremental Learning
Towards Efficient Replay in Federated Incremental Learning
Yichen Li
Qunwei Li
Haozhao Wang
Ruixuan Li
Leon Wenliang Zhong
Guannan Zhang
37
13
0
09 Mar 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
19
30
0
27 Dec 2023
Fingerprint Attack: Client De-Anonymization in Federated Learning
Fingerprint Attack: Client De-Anonymization in Federated Learning
Qiongkai Xu
Trevor Cohn
Olga Ohrimenko
FedML
8
2
0
12 Sep 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey
Fairness and Privacy-Preserving in Federated Learning: A Survey
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
FedML
27
39
0
14 Jun 2023
Masked Autoencoders are Efficient Continual Federated Learners
Masked Autoencoders are Efficient Continual Federated Learners
Subarnaduti Paul
Lars-Joel Frey
Roshni Kamath
Kristian Kersting
Martin Mundt
CLL
FedML
16
1
0
06 Jun 2023
Decentralized Federated Learning: A Survey and Perspective
Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan
Ziran Wang
Lichao Sun
Philip S. Yu
Christopher G. Brinton
FedML
30
85
0
02 Jun 2023
Global Layers: Non-IID Tabular Federated Learning
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
29
0
0
29 May 2023
Non-readily identifiable data collaboration analysis for multiple
  datasets including personal information
Non-readily identifiable data collaboration analysis for multiple datasets including personal information
A. Imakura
T. Sakurai
Yukihiko Okada
Tomoya Fujii
Teppei Sakamoto
Hiroyuki Abe
FedML
11
10
0
31 Aug 2022
Decentralized digital twins of complex dynamical systems
Decentralized digital twins of complex dynamical systems
Omer San
Suraj Pawar
Adil Rasheed
AI4CE
28
11
0
07 Jul 2022
Federated Continual Learning for Socially Aware Robotics
Federated Continual Learning for Socially Aware Robotics
Luke M. Guerdan
Hatice Gunes
FedML
17
3
0
14 Jan 2022
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with
  Delayed Gradients
Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients
Xingyu Li
Zhe Qu
Bo Tang
Zhuo Lu
FedML
63
31
0
12 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
85
943
0
03 Feb 2021
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
183
541
0
30 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
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
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
1,680
0
14 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1