A primal-dual method for conic constrained distributed optimization problems
Authors: Necdet Serhat Aybat, Erfan Yazdandoost Hamedani
NeurIPS 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We tested DPDA-S and DPDA-D on a primal linear SVM problem where the data is distributed among the computing nodes in N. Relative suboptimality and relative consensus violation, i.e., max(i,j) E [w i bi] [w j bj] / [w b ] , and absolute feasibility violation are plotted against iteration counter in Fig. 3, where [w b ] denotes the optimal solution to the central problem. |
| Researcher Affiliation | Academia | Necdet Serhat Aybat Department of Industrial Engineering Penn State University University Park, PA 16802 nsa10@psu.edu Erfan Yazdandoost Hamedani Department of Industrial Engineering Penn State University University Park, PA 16802 evy5047@psu.edu |
| Pseudocode | Yes | Figure 1: Distributed Primal Dual Algorithm for Static G (DPDA-S) and Figure 2: Distributed Primal Dual Algorithm for Dynamic Gt (DPDA-D) |
| Open Source Code | No | The paper mentions implementing the proposed algorithms and presents numerical results, but it does not provide any specific links or explicit statements about the public availability of its source code. |
| Open Datasets | No | The dataset used is synthetically generated: '{xℓ}ℓ S is generated from two-dimensional multivariate Gaussian distribution with covariance matrix Σ = [1, 0; 0, 2] and with mean vector either m1 = [ 1, 1]T or m2 = [1, 1]T with equal probability.' No link or citation to a publicly available dataset is provided. |
| Dataset Splits | No | The paper specifies the partition of data into 'Stest' and 'Strain' with sizes '|Stest| = 600' and '|Strain| = 300'. However, it does not explicitly mention or provide details for a separate validation dataset split. |
| Hardware Specification | No | The paper describes experimental setups but does not provide specific details about the hardware (e.g., GPU/CPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependency details, such as library names with version numbers, required to replicate the experiments. |
| Experiment Setup | Yes | The experiment was performed for C = 2, |N| = 10, s = 900 such that |Stest| = 600, |Si| = 30 for i N, i.e., |Strain| = 300, and qk = k. |