Federated Combinatorial Multi-Agent Multi-Armed Bandits
Authors: Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
ICML 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We empirically validate our approach to a stochastic data summarization problem, illustrating the effectiveness of the proposed framework, even in single-agent scenarios. |
| Researcher Affiliation | Academia | 1Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, KSA. 2School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA. Correspondence to: Fares Fourati <fares.fourati@kaust.edu.sa>. |
| Pseudocode | Yes | We present our proposed C-MA-MAB Framework; see Algorithm 1. |
| Open Source Code | No | The paper does not provide any statement or link for open-source code for the methodology. |
| Open Datasets | Yes | We run experiments on FMNIST (Xiao et al., 2017) and CIFAR10 (Krizhevsky et al., 2009), present the latter in the main paper, and relegate more details and results to Appendix F. |
| Dataset Splits | No | The paper does not provide specific train/validation/test dataset splits. It mentions running experiments on FMNIST and CIFAR10, but no details on how these datasets were partitioned for training, validation, or testing. |
| Hardware Specification | No | The paper does not provide any specific hardware details used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific software dependency details with version numbers. |
| Experiment Setup | Yes | We set a cardinality constraint of k = 5. Our goal is to summarize information from fifteen images, and instead of comparing it to all the images, we only consider a random batch R of 3 images. We run the experiments 100 times. We test for several time horizons in {125, 250, 500, 1000, 2000, 4000, 8000, 12000, 16000, 20000}. |