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Federated Computing -- Survey on Building Blocks, Extensions and Systems

Federated Computing -- Survey on Building Blocks, Extensions and Systems

3 April 2024
René Schwermer
R. Mayer
Hans-Arno Jacobsen
    FedML
ArXivPDFHTML

Papers citing "Federated Computing -- Survey on Building Blocks, Extensions and Systems"

6 / 6 papers shown
Title
Efficient Hyperparameter Optimization for Differentially Private Deep
  Learning
Efficient Hyperparameter Optimization for Differentially Private Deep Learning
Aman Priyanshu
Rakshit Naidu
Fatemehsadat Mireshghallah
Mohammad Malekzadeh
14
5
0
09 Aug 2021
FederatedNILM: A Distributed and Privacy-preserving Framework for
  Non-intrusive Load Monitoring based on Federated Deep Learning
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning
Shuang Dai
Fanlin Meng
Qian Wang
Xizhong Chen
15
18
0
08 Aug 2021
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
162
564
0
27 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig
Nathalie Baracaldo
Gegi Thomas
Yi Zhou
Ali Anwar
...
Sean Laguna
Mikhail Yurochkin
Mayank Agarwal
Ebube Chuba
Annie Abay
FedML
126
157
0
22 Jul 2020
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,703
0
18 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
157
760
0
28 Sep 2019
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