Lower Bounds and Optimal Algorithms for Personalized Federated Learning
Authors: Filip Hanzely, Slavomír Hanzely, Samuel Horváth, Peter Richtarik
NeurIPS 2020 | Conference PDF | Archive PDF | Plain Text | 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 filip.hanzely@kaust.edu.sa Slavomír Hanzely KAUST Thuwal, Saudi Arabia slavomir.hanzely@kaust.edu.sa Samuel Horváth KAUST Thuwal, Saudi Arabia samuel.horvath@kaust.edu.sa Peter Richtárik KAUST Thuwal, Saudi Arabia peter.richtarik@kaust.edu.sa |
| 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. |