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• Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting
  2024 · 5 citations
• FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
  2024 · 2 citations
• Floe: Federated Specialization for Real-Time LLM-SLM Inference
  2026 · 1 citations
• A Survey on Federated Fine-tuning of Large Language Models
  2025 · 1 citations
• Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge
  2026
• FedHybrid: Breaking the Memory Wall of Federated Learning via Hybrid Tensor Management
  2025
• Memory-Efficient Federated Fine-Tuning of Large Language Models via Layer Pruning
  2025
• Bridging Memory Gaps: Scaling Federated Learning for Heterogeneous Clients
  2024
• Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning
  2024
• Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks
  2024