Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
Authors: Konstantin Mishchenko, Francis Bach, Mathieu Even, Blake E. Woodworth
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Figure 1: We ran an experiment on a simple least-squares problem with random data and tuned all stepsizes. |
| Researcher Affiliation | Academia | DI ENS, Ecole normale supérieure, Université PSL, CNRS, INRIA 75005 Paris, France |
| Pseudocode | Yes | Algorithm 1 Asynchronous SGD |
| Open Source Code | No | The paper does not provide an unambiguous statement or a direct link indicating that the source code for the methodology described in this paper is publicly available. |
| Open Datasets | No | The paper mentions 'a simple least-squares problem with random data' for an experiment but does not provide concrete access information (specific link, DOI, repository name, formal citation, or reference to established benchmark datasets) for a publicly available or open dataset. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) needed to reproduce the data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers like Python 3.8, CPLEX 12.4) needed to replicate the experiment. |
| Experiment Setup | No | The paper states 'Additional details about the experiment can be found in Appendix A' but does not provide specific experimental setup details (concrete hyperparameter values, training configurations, or system-level settings) within the main body of the provided text. |