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..
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Authors: Yan Sun, Li Shen, Dacheng Tao
NeurIPS 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments are conducted on several classical FL setups to validate the effectiveness of our proposed method. |
| Researcher Affiliation | Academia | Yan Sun The University of Sydney EMAIL Li Shen Shenzhen Campus of Sun Yat-sen University EMAIL Dacheng Tao Nanyang Technological University EMAIL |
| Pseudocode | Yes | Algorithm 1 A-Fed PD Algorithm |
| Open Source Code | Yes | We submit our code demo to reproduce the experiments and all hyperparameters can be found in our paper. ... We submit the code demo to reproduce the experiments. |
| Open Datasets | Yes | We follow previous work to test the performance of benchmarks on the CIFAR-10 / 100 dataset Krizhevsky et al. [2009]. |
| Dataset Splits | No | The paper states 'The total dataset of both contain 50,000 training samples and 10,000 test samples of 10 / 100 classes.' for CIFAR-10/100, providing training and test set sizes, but does not explicitly detail a separate validation split or its size/percentage. |
| Hardware Specification | Yes | Hardware: NVIDIA Ge Force RTX 2080 Ti |
| Software Dependencies | Yes | Platform: Pytorch 2.0.1 Cuda: 11.7 |
| Experiment Setup | Yes | In each setup, for a fair comparison, we freeze the most of hyperparameters for all methods. We fix total communication rounds T = 800 except for the ablation studies. ... Table 3: Hyperparameters selections of benchmarks. |