datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Poisoning_Resilient_Federated_Learning_Playground
FL Security Experiment Results
This repository contains the experiment outputs used for the FL Security / FLPoison federated learning poisoning benchmark. The archive is intended for readers who want to inspect the raw training logs, reuse the aggregated curves and tables, or reproduce the paper figures without rerunning the full Compute Canada workload.
The uploaded artifact is:
exp_data.tar.gz # about 241 MB
After extraction, the archive keeps the original Compute Canada… See the full description on the dataset page: https://huggingface.co/datasets/FL-Security/Poisoning_Resilient_Federated_Learning_Playground.federated-learning-papers
Federated Learning Papers — FineSet
A research-paper dataset on Federated Learning Papers, assembled, deduplicated, and quality-scored by
FineSet from arXiv and Semantic Scholar.
📸 This is a dated snapshot — generated 2026-06-19.
It is not auto-updated. Research on Federated Learning Papers moves fast — new papers land on arXiv every
week. Want this same dataset refreshed daily, on a topic you choose? See the bottom. ↓
Why this dataset
Quality-scored:… See the full description on the dataset page: https://huggingface.co/datasets/fineset-io/federated-learning-papers.Federated-Learning-Disentanglementpwc747_a10865__paper__P01__2024__high__federated_learning
Northwind Product Reviews Corpus
A derived dataset combining customer profiles with store reviews to support product review analysis.
Upstream Sources
This dataset is derived from the following upstream source datasets:
Northwind Customer Profiles (TianfuXinqu/pwc747_a10865__paper__P03__2021__low__federated_learning)
Northwind Store Reviews (TianfuXinqu/pwc747_a10865__paper__P04__2019__high__model_compression)
Commercial Use
Commercial Use:… See the full description on the dataset page: https://huggingface.co/datasets/TianfuXinqu/pwc747_a10865__paper__P01__2024__high__federated_learning.Federated_Meta-learning_on_wearable_devicesaction-recognition-pose-estimation-federated-learning