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Characterization of Convex Objective Functions and Optimal Expected
  Convergence Rates for SGD

Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD

9 October 2018
Marten van Dijk
Lam M. Nguyen
Phuong Ha Nguyen
Dzung Phan
ArXivPDFHTML

Papers citing "Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD"

3 / 3 papers shown
Title
Gradient Descent-Type Methods: Background and Simple Unified Convergence
  Analysis
Gradient Descent-Type Methods: Background and Simple Unified Convergence Analysis
Quoc Tran-Dinh
Marten van Dijk
34
0
0
19 Dec 2022
Hogwild! over Distributed Local Data Sets with Linearly Increasing
  Mini-Batch Sizes
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
Marten van Dijk
Nhuong V. Nguyen
Toan N. Nguyen
Lam M. Nguyen
Quoc Tran-Dinh
Phuong Ha Nguyen
FedML
34
10
0
27 Oct 2020
Asynchronous Federated Learning with Reduced Number of Rounds and with
  Differential Privacy from Less Aggregated Gaussian Noise
Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise
Marten van Dijk
Nhuong V. Nguyen
Toan N. Nguyen
Lam M. Nguyen
Quoc Tran-Dinh
Phuong Ha Nguyen
FedML
8
28
0
17 Jul 2020
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