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2012.07450
Cited By
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
14 December 2020
Qiong Wu
Xu Chen
Zhi Zhou
Junshan Zhang
FedML
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Papers citing
"FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring"
50 / 55 papers shown
Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey
Minh K. Quan
P. Pathirana
M. Wijayasundara
S. Setunge
Dinh C. Nguyen
Christopher G. Brinton
David J. Love
H. Vincent Poor
AI4CE
51
0
0
08 May 2025
FedSub: Introducing class-aware Subnetworks Fusion to Enhance Personalized Federated Learning in Ubiquitous Systems
M. Campana
Franca Delmastro
29
0
0
13 Nov 2024
Green Federated Learning: A new era of Green Aware AI
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Francesco Piccialli
AI4CE
43
4
0
19 Sep 2024
Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics
Jiaxiang Geng
Beilong Tang
Boyan Zhang
Jiaqi Shao
B. Luo
FedML
28
1
0
31 Aug 2024
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions
Darpit Dave
Kathan Vyas
Jagadish K. Jayagopal
Alfredo Garcia
M. Erraguntla
Mark Lawley
FedML
21
0
0
25 Aug 2024
The Key of Parameter Skew in Federated Learning
Sifan Wang
Junfeng Liao
Ye Yuan
Riquan Zhang
FedML
31
0
0
21 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning
Fengling Lv
Xinyi Shang
Yang Zhou
Yiqun Zhang
Mengke Li
Yang Lu
FedML
37
0
0
04 Aug 2024
Federated Learning based Latent Factorization of Tensors for Privacy-Preserving QoS Prediction
Shuai Zhong
Zengtong Tang
Di Wu
26
0
0
29 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Yuan Yao
Zhiyong Peng
42
0
0
23 Jul 2024
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning
Yunbo Li
Jiaping Gui
Yue Wu
FedML
38
0
0
25 May 2024
Enhancing Critical Infrastructure Cybersecurity: Collaborative DNN Synthesis in the Cloud Continuum
Lav Gupta
Guoxing Yao
14
0
0
23 May 2024
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
Amin Aminifar
Matin Shokri
Amir Aminifar
FedML
29
8
0
09 May 2024
TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
Guanqiao Qu
Zhengyi Lin
Fangming Liu
Xianhao Chen
Kaibin Huang
35
16
0
07 May 2024
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
Wei-Bin Kou
Qingfeng Lin
Ming Tang
Sheng Xu
Rongguang Ye
...
Shuai Wang
Guofa Li
Zhenyu Chen
Guangxu Zhu
Yik-Chung Wu
FedML
52
11
0
07 May 2024
Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
Feng Liang
Zhen Zhang
Haifeng Lu
Victor C. M. Leung
Yanyi Guo
Xiping Hu
GNN
29
6
0
09 Apr 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
Jianqing Zhang
Yang Janet Liu
Yang Hua
Jian Cao
74
11
0
23 Mar 2024
SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms
Dian Chen
Paul Yang
Ing-Ray Chen
D. Ha
Jin-Hee Cho
8
1
0
15 Feb 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
Liangqi Yuan
Dong-Jun Han
Su Wang
Devesh Upadhyay
Christopher G. Brinton
36
10
0
30 Jan 2024
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality
Biwei Yan
Hongliang Zhang
Minghui Xu
Dongxiao Yu
Xiuzhen Cheng
41
5
0
15 Jan 2024
FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning
Sofiane Bouaziz
Hadjer Benmeziane
Youcef Imine
Leila Hamdad
Smail Niar
Hamza Ouarnoughi
23
2
0
12 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Zhiyong Peng
28
0
0
12 Nov 2023
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
28
5
0
08 Oct 2023
Recent Methodological Advances in Federated Learning for Healthcare
Fan Zhang
Daniel Kreuter
Yichen Chen
Sören Dittmer
Samuel Tull
...
James H. F. Rudd
J. A. Aston
Carola-Bibiane Schönlieb
Nicholas S. Gleadall
Michael Roberts
FedML
OOD
26
5
0
04 Oct 2023
Heterogeneous Federated Learning via Personalized Generative Networks
Zahra Taghiyarrenani
Abdallah S. Abdallah
Sławomir Nowaczyk
Sepideh Pashami
FedML
28
0
0
25 Aug 2023
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning
Achintha Wijesinghe
Songyang Zhang
Zhi Ding
31
2
0
23 Aug 2023
Collaborative Policy Learning for Dynamic Scheduling Tasks in Cloud-Edge-Terminal IoT Networks Using Federated Reinforcement Learning
Do-Yup Kim
Dami Lee
Ji-Wan Kim
Hyun-Suk Lee
20
4
0
02 Jul 2023
FedBone: Towards Large-Scale Federated Multi-Task Learning
Yiqiang Chen
Teng Zhang
Xinlong Jiang
Qian Chen
Chenlong Gao
Wuliang Huang
FedML
AI4CE
24
11
0
30 Jun 2023
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey
Farhad Pourpanah
Ali Etemad
24
4
0
22 Jun 2023
Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data
Tailin Zhou
Zehong Lin
Jinchao Zhang
Danny H. K. Tsang
MoMe
FedML
30
12
0
13 May 2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
Zhengyi Lin
Guangyu Zhu
Yiqin Deng
Xianhao Chen
Yue Gao
Kaibin Huang
Yuguang Fang
21
101
0
26 Mar 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning
Shih-Fang Chang
Benny Wei-Yun Hsu
Tien-Yu Chang
Vincent S. Tseng
6
2
0
27 Feb 2023
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
Chung-ju Huang
Leye Wang
Xiao Han
FedML
17
23
0
11 Feb 2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
T. Shaik
Xiaohui Tao
Niall Higgins
Lin Li
R. Gururajan
Xujuan Zhou
U. Acharya
21
185
0
19 Jan 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association
Qiong Wu
Xu Chen
Ouyang Tao
Zhi Zhou
Xiaoxi Zhang
Shusen Yang
Junshan Zhang
22
44
0
16 Jan 2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Liangqi Yuan
Lu Su
Ziran Wang
30
18
0
12 Jan 2023
On the Design of Communication-Efficient Federated Learning for Health Monitoring
D. Chu
Wael Jaafar
H. Yanikomeroglu
FedML
19
12
0
30 Nov 2022
Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges
Madhura Joshi
Ankit Pal
Malaikannan Sankarasubbu
OOD
AI4CE
FedML
23
92
0
15 Nov 2022
Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems
Chong Chen
Ying Gao
Leyu Shi
Siquan Huang
AAML
32
0
0
03 Nov 2022
A Survey on Heterogeneous Federated Learning
Dashan Gao
Xin Yao
Qian Yang
FedML
24
58
0
10 Oct 2022
Heterogeneous Federated Learning on a Graph
Huiyuan Wang
Xuyang Zhao
Weijie Lin
FedML
52
4
0
19 Sep 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
41
91
0
05 Aug 2022
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning
Qiong Wu
Yu Zhao
Q. Fan
Pingyi Fan
Jiangzhou Wang
Cui Zhang
27
121
0
02 Aug 2022
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective
Guangjing Huang
Xu Chen
Ouyang Tao
Qian Ma
Lin Chen
Junshan Zhang
FedML
17
30
0
25 Jul 2022
Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations
Jonathan Heiss
Elias Grunewald
Nikolas Haimerl
Stefan Schulte
Stefan Tai
FedML
23
29
0
23 Jun 2022
Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification
Shuai Wang
Chengyang Li
Derrick Wing Kwan Ng
Yonina C. Eldar
H. Vincent Poor
Qi Hao
Chengzhong Xu
FedML
13
58
0
03 Jun 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Mansoor Ali
F. Naeem
M. Tariq
Georges Kaddoum
24
119
0
18 Mar 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos
I. Koutsopoulos
Michalis K. Titsias
FedML
23
9
0
20 Feb 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
Jaemin Shin
Yuanchun Li
Yunxin Liu
Sung-Ju Lee
FedML
15
71
0
05 Jan 2022
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen
Viet Quoc Pham
P. Pathirana
Ming Ding
Aruna Seneviratne
Zihuai Lin
O. Dobre
W. Hwang
FedML
17
512
0
16 Nov 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu
Viet Quoc Pham
Thien Huynh-The
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Madhusanka Liyanage
FedML
AI4CE
42
39
0
08 Oct 2021
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