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• FedBABU: Towards Enhanced Representation for Federated Image Classification
  2021 · 48 citations
• Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
  2021 · 44 citations
• TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
  2020 · 26 citations
• Supernet Training for Federated Image Classification under System Heterogeneity
  2022 · 3 citations
• Re-thinking Federated Active Learning based on Inter-class Diversity
  2023 · 3 citations
• FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning
  2023 · 1 citations
• FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
  2022
• FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
  2023
• Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels
  2024
• Hypernetwork-Driven Model Fusion for Federated Domain Generalization
  2024
• FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning
  2024