FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

Documenti analoghi

• Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Data
  di: Herurkar, Dayananda, et al.
  Pubblicazione: (2024)
• Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment
  di: Legler, Tatjana, et al.
  Pubblicazione: (2024)
• Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking
  di: Herurkar, Dayananda, et al.
  Pubblicazione: (2025)
• Seamless Integration: Sampling Strategies in Federated Learning Systems
  di: Legler, Tatjana, et al.
  Pubblicazione: (2024)
• Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
  di: Hegiste, Vinit, et al.
  Pubblicazione: (2024)