Stack Overflow
Canonical7papers using it
2021first seen
Stack Overflow is a dataset used to evaluate the performance of machine learning models, particularly in the context of personalized federated learning, by providing a platform for analyzing user-generated content and interactions.
Papers using Stack Overflow (7)
- A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTsFedJAX: Federated learning simulation with JAXFederated Asymptotics: a model to compare federated learning algorithmsLearning from straggler clients in federated learningOptimizing the Communication-Accuracy Trade-off in Federated Learning
with Rate-Distortion TheoryFlow: Per-Instance Personalized Federated Learning Through Dynamic
RoutingLeveraging Function Space Aggregation for Federated Learning at Scale