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Improving the Bit Complexity of Communication for Distributed Convex
  Optimization

Improving the Bit Complexity of Communication for Distributed Convex Optimization

28 March 2024
Mehrdad Ghadiri
Yin Tat Lee
Swati Padmanabhan
W. Swartworth
David P. Woodruff
Guanghao Ye
ArXivPDFHTML

Papers citing "Improving the Bit Complexity of Communication for Distributed Convex Optimization"

3 / 3 papers shown
Title
Subquadratic Kronecker Regression with Applications to Tensor
  Decomposition
Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Matthew Fahrbach
Thomas Fu
Mehrdad Ghadiri
35
15
0
11 Sep 2022
Straggler-Resilient Federated Learning: Leveraging the Interplay Between
  Statistical Accuracy and System Heterogeneity
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity
Amirhossein Reisizadeh
Isidoros Tziotis
Hamed Hassani
Aryan Mokhtari
Ramtin Pedarsani
FedML
172
99
0
28 Dec 2020
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
182
683
0
07 Dec 2010
1