Apr 18, 2022 · This paper introduces CO3 -- an algorithm for communication-efficient federated Deep Neural Network (DNN) training.

In this paper, we introduce a novel algorithm, $\mathsf{CO}_3$, for communication-efficiency distributed Deep Neural Network (DNN) training.

In this paper, we introduce 𝖢𝖮_3, an algorithm for communication-efficiency federated Deep Neural Network (DNN) training.

Mar 17, 2022 · Abstract—In this paper, we introduce a novel algorithm, CO3, for communication-efficiency distributed Deep Neural Network. (DNN) training.

Sep 10, 2024 · In the federated training of a Deep Neural Network (DNN), model updates are transmitted from the remote users to the Parameter Server (PS).

In this paper, we introduce a novel algorithm, $\mathsf{CO}_3$, for communication-efficiency distributed Deep Neural Network (DNN) training.

How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct. ZJ Chen, EE Hernandez, YC Huang, S Rini. arXiv preprint arXiv:2204.08211, 2022.

Oct 9, 2023 · Using residual encoding to reduce the message size for fast DNN parameter transfer. Propose both lossless and lossy compression methods.

How to Attain Communication-Efficient DNN Training? Convert ... Convert, compress, correct: Three steps toward communication-efficient DNN training.

Mar 18, 2022 · This paper introduces a novel technique—an Adaptive Sparse Ternary Gradient Compression (ASTC) scheme, which relies on the number of gradients ...