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FedHome: Cloud-Edge based Personalized Federated Learning for In-Home
  Health Monitoring

FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring

14 December 2020
Qiong Wu
Xu Chen
Zhi Zhou
Junshan Zhang
    FedML
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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