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Robust Aggregation for Adaptive Privacy Preserving Federated Learning in
  Healthcare

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare

17 September 2020
Matei Grama
M. Mușat
Luis Muñoz-González
Jonathan Passerat-Palmbach
Daniel Rueckert
A. Alansary
    OOD
    FedML
ArXivPDFHTML

Papers citing "Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare"

9 / 9 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
56
0
0
08 May 2025
Multimodal Federated Learning in Healthcare: a Review
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher
Alina Devkota
Prasiddha Siwakotai
Rohit Chivukula
Pranav Poudel
Chaunbo Hu
Binod Bhattarai
P. Gyawali
30
7
0
14 Oct 2023
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
248
0
20 Jul 2023
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving
  Federated Learning with Byzantine Users
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
Y. Rahulamathavan
Charuka Herath
Xiaolan Liu
S. Lambotharan
Carsten Maple
41
12
0
08 Jun 2023
Byzantines can also Learn from History: Fall of Centered Clipping in
  Federated Learning
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Kerem Ozfatura
Emre Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
FedML
38
13
0
21 Aug 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
46
90
0
05 Aug 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense
  Mechanisms
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms
Ehsan Hallaji
R. Razavi-Far
M. Saif
AAML
FedML
27
13
0
05 Jul 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
  Survey
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
31
9
0
19 Dec 2021
FedRAD: Federated Robust Adaptive Distillation
FedRAD: Federated Robust Adaptive Distillation
Stefán Páll Sturluson
Samuel Trew
Luis Muñoz-González
Matei Grama
Jonathan Passerat-Palmbach
Daniel Rueckert
A. Alansary
FedML
21
17
0
02 Dec 2021
1