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• Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity
  2021 · 82 citations
• A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
  2023 · 9 citations
• Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
  2024 · 7 citations
• Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
  2022 · 5 citations
• FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
  2022 · 4 citations
• Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
  2022 · 2 citations
• Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
  2024 · 1 citations
• Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
  2025
• Federated Learning Client Pruning for Noisy Labels
  2024