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Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML
  Systems

Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems

4 July 2020
A. Feder Cooper
K. Levy
Christopher De Sa
ArXivPDFHTML

Papers citing "Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML Systems"

3 / 3 papers shown
Title
Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
34
85
0
10 Feb 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
266
4,557
0
23 Jan 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,690
0
14 Apr 2018
1