FedPLC: Federated Learning with Dynamic Cluster Adaptation for Concept Drift on Non-IID Data

Ngā tūemi rite

• Comparisons Where It Matters: Using Layer-Wise Regularization to Improve Federated Learning on Heterogeneous Data
  mā: Ha Min Son, me ētahi atu.
  I whakaputaina: (2022-10-01)
• LayerCFL: an efficient federated learning with layer-wised clustering
  mā: Jie Yuan, me ētahi atu.
  I whakaputaina: (2023-12-01)
• FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research
  mā: Daniel Mauricio Jimenez Gutierrez, me ētahi atu.
  I whakaputaina: (2024-01-01)
• ProFed: A Benchmark for Proximity-Based Non-IID Federated Learning
  mā: Davide Domini, me ētahi atu.
  I whakaputaina: (2026-03-01)
• Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in Non-IID Datasets
  mā: Ying-Hsun Lai, me ētahi atu.
  I whakaputaina: (2024-03-01)