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• Parameterized Knowledge Transfer for Personalized Federated Learning
  2021 · 25 citations
• FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
  2024 · 4 citations
• Towards Federated RLHF with Aggregated Client Preference for LLMs
  2024 · 3 citations
• GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning
  2022 · 2 citations
• FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
  2024 · 2 citations
• Anchor Sampling for Federated Learning with Partial Client Participation
  2022 · 1 citations
• PORTool: Importance-Aware Policy Optimization with Rewarded Tree for Multi-Tool-Integrated Reasoning
  2025
• Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking
  2025
• From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization
  2021