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MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent

MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent

IEEE International Conference on Cloud Computing (CLOUD), 2020
1 December 2020
K.R. Jayaram
Archit Verma
A. Verma
Gegi Thomas
Colin Sutcher-Shepard
    FedML
ArXiv (abs)PDFHTML

Papers citing "MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent"

8 / 8 papers shown
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
330
29
0
08 May 2025
FLIPS: Federated Learning using Intelligent Participant Selection
FLIPS: Federated Learning using Intelligent Participant SelectionInternational Middleware Conference (Middleware), 2023
R. Bhope
K.R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
280
8
0
07 Aug 2023
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear
  Regression
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression
Xinlin Leng
Chenxu Li
Weifeng Xu
Yuyan Sun
Hongtao Wang
FedML
337
1
0
16 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 DirectionsIEEE Internet of Things Journal (IEEE IoT J.), 2022
A. Rauniyar
D. Hagos
Debesh Jha
J. E. Haakegaard
Ulas Bagci
D. Rawat
Vladimir Vlassov
OOD
412
202
0
05 Aug 2022
Adaptive Aggregation For Federated Learning
Adaptive Aggregation For Federated Learning
K.R. Jayaram
Vinod Muthusamy
Gegi Thomas
Ashish Verma
Mark Purcell
FedML
312
21
0
23 Mar 2022
A Survey on Fault-tolerance in Distributed Optimization and Machine
  Learning
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning
Shuo Liu
AI4CEOOD
250
14
0
16 Jun 2021
Separation of Powers in Federated Learning
Separation of Powers in Federated Learning
P. Cheng
Kevin Eykholt
Zhongshu Gu
Hani Jamjoom
K.R. Jayaram
Enriquillo Valdez
Ashish Verma
FedML
237
14
0
19 May 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), 2021
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Sébastien Rouault
John Stephan
308
40
0
16 Feb 2021
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