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..
Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Authors: Filip Hanzely, Slavomír Hanzely, Samuel Horváth, Peter Richtarik
NeurIPS 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We demonstrate the practical superiority of our methods through extensive numerical experiments. |
| Researcher Affiliation | Academia | Filip Hanzely KAUST Thuwal, Saudi Arabia EMAIL Slavomír Hanzely KAUST Thuwal, Saudi Arabia EMAIL Samuel Horváth KAUST Thuwal, Saudi Arabia EMAIL Peter Richtárik KAUST Thuwal, Saudi Arabia EMAIL |
| Pseudocode | Yes | Algorithm 1 IAPGD +A |
| Open Source Code | No | The paper does not contain any explicit statements about releasing source code or provide links to a code repository for the methodology described. |
| Open Datasets | Yes | Dataset: madelon, Dataset: a1a, Dataset: mushrooms, Dataset: duke in Figure 1, and the citation [7] Chih-Chung Chang and Chih-Jen Lin. Libsvm: A library for support vector machines. ACM transactions on intelligent systems and technology (TIST), 2(3):1 27, 2011. which refers to the source of these publicly available datasets. |
| Dataset Splits | No | The paper mentions 'Each client owns a random, mutually disjoint subset of the full dataset' but does not specify the train/validation/test splits (e.g., percentages or exact counts) for reproducibility. |
| Hardware Specification | No | The paper does not explicitly describe the specific hardware (e.g., GPU/CPU models, memory) used to run the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies (e.g., library or solver names with version numbers) needed to replicate the experiments. |
| Experiment Setup | No | The paper states 'The remaining plots, as well as the details on the experimental setup, can be found in Section B of the Appendix,' indicating that these details are not provided in the main text of the paper. |