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Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous
  Decentralized Federated Learning Approach

Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach

21 June 2024
Chengzhe Piao
Taiyu Zhu
Yu Wang
S. Baldeweg
Paul Taylor
Pantelis Georgiou
Jiahao Sun
Jun Wang
Kezhi Li
    FedML
ArXivPDFHTML

Papers citing "Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach"

4 / 4 papers shown
Title
Blood Glucose Level Prediction: A Graph-based Explainable Method with
  Federated Learning
Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning
Chengzhe Piao
Ken Li
FedML
29
3
0
19 Dec 2023
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model
  Communication
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
Marco Bornstein
Tahseen Rabbani
Evana Wang
Amrit Singh Bedi
Furong Huang
FedML
49
18
0
25 Oct 2022
Gluformer: Transformer-Based Personalized Glucose Forecasting with
  Uncertainty Quantification
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification
Renat Sergazinov
Mohammadreza Armandpour
I. Gaynanova
BDL
AI4TS
MedIm
38
11
0
09 Sep 2022
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
362
11,700
0
09 Mar 2017
1