AG News
Emerging7papers using it
2020first seen
AG News is a benchmark dataset that contains news articles categorized into four classes, used to evaluate text classification models in the context of federated learning.
Papers using AG News (7)
- FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated LearningPrediction-space knowledge markets for communication-efficient federated learning on multimedia tasksWhispers of Data: Unveiling Label Distributions in Federated Learning
Through Virtual Client SimulationLayer-wise Update Aggregation with Recycling for Communication-Efficient Federated LearningEnsemble Distillation for Robust Model Fusion in Federated LearningLocal-Global Knowledge Distillation in Heterogeneous Federated Learning
with Non-IID DataQuasi-Global Momentum: Accelerating Decentralized Deep Learning on
Heterogeneous Data