Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Recovering Exact Support in Federated lasso without Optimization
Authors: Adarsh Barik, Jean Honorio
TMLR 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | In this section, we validate our theoretical results by conducting computational experiments. |
| Researcher Affiliation | Academia | Adarsh Barik EMAIL Institute of Data Science National University of Singapore Jean Honorio EMAIL School of Computing and Information Systems The University of Melbourne |
| Pseudocode | Yes | Algorithm 1: get Exact Support |
| Open Source Code | No | The paper does not provide any explicit statement or link to source code for the described methodology. |
| Open Datasets | Yes | We used the Blog Feedback data set (Buza, K., 2014) from https://archive.ics.uci.edu/ml/datasets/Blog Feedback. |
| Dataset Splits | Yes | We divided data into training and test data by choosing 80% of all samples to be training data at random. |
| Hardware Specification | No | The paper mentions that the method can run on "devices with low computational capabilities" but does not specify the hardware used for the experiments reported in the paper. |
| Software Dependencies | No | The paper does not explicitly mention any specific software components with version numbers used for the experiments. |
| Experiment Setup | Yes | The number of samples per client ni is varied with control parameter C as 10Cs2 log s. The number of clients g is varied with control parameter C as 10C log d. We conducted our experiment using 0.08. |