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No Peek: A Survey of private distributed deep learning

No Peek: A Survey of private distributed deep learning

8 December 2018
Praneeth Vepakomma
Tristan Swedish
Ramesh Raskar
O. Gupta
Abhimanyu Dubey
    SyDa
    FedML
ArXivPDFHTML

Papers citing "No Peek: A Survey of private distributed deep learning"

14 / 14 papers shown
Title
Federated Split Learning with Only Positive Labels for
  resource-constrained IoT environment
Federated Split Learning with Only Positive Labels for resource-constrained IoT environment
Praveen Joshi
Chandra Thapa
Mohammed Hasanuzzaman
T. Scully
Haithem Afli
FedML
6
1
0
25 Jul 2023
On Feasibility of Server-side Backdoor Attacks on Split Learning
On Feasibility of Server-side Backdoor Attacks on Split Learning
Behrad Tajalli
Oguzhan Ersoy
S. Picek
FedML
SILM
29
8
0
19 Feb 2023
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning
  via Outlier Detection
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection
Ege Erdogan
Unat Teksen
Mehmet Salih Celiktenyildiz
Alptekin Kupcu
A. E. Cicek
27
4
0
16 Feb 2023
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
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series
  Data
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
Lianlian Jiang
Yuexuan Wang
Wenyi Zheng
Chao Jin
Zengxiang Li
Sin Gee Teo
AI4TS
11
10
0
08 Mar 2022
Label Leakage and Protection from Forward Embedding in Vertical
  Federated Learning
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Chong-Jun Wang
FedML
16
37
0
02 Mar 2022
Feature Space Hijacking Attacks against Differentially Private Split
  Learning
Feature Space Hijacking Attacks against Differentially Private Split Learning
Grzegorz Gawron
P. Stubbings
AAML
11
20
0
11 Jan 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
18
9
0
19 Dec 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label
  Inference Attacks Against Split Learning
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning
Ege Erdogan
Alptekin Kupcu
A. E. Cicek
FedML
MIACV
19
77
0
20 Aug 2021
Evaluation and Optimization of Distributed Machine Learning Techniques
  for Internet of Things
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Yansong Gao
Minki Kim
Chandra Thapa
Sharif Abuadbba
Zhi-Li Zhang
S. Çamtepe
Hyoungshick Kim
Surya Nepal
12
59
0
03 Mar 2021
Asymmetric Private Set Intersection with Applications to Contact Tracing
  and Private Vertical Federated Machine Learning
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
Nick Angelou
Ayoub Benaissa
Bogdan Cebere
William Clark
A. Hall
...
Pavlos Papadopoulos
Robin Roehm
R. Sandmann
Phillipp Schoppmann
Tom Titcombe
14
27
0
18 Nov 2020
SplitNN-driven Vertical Partitioning
SplitNN-driven Vertical Partitioning
Iker Ceballos
Vivek Sharma
Eduardo Mugica
Abhishek Singh
Alberto Roman
Praneeth Vepakomma
Ramesh Raskar
11
72
0
07 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks:
  Principles and Applications
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
M. Bennis
Seong-Lyun Kim
Mérouane Debbah
18
161
0
06 Aug 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,608
0
19 Feb 2017
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