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• Caesar: A Low-deviation Compression Approach for Efficient Federated Learning
  2024 · 1 citations
• Scaling Synthetic-Image Pre-Training for Federated Fine-Tuning of Large Vision Models
  2026
• Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
  2025
• Air-FedGA: A Grouping Asynchronous Federated Learning Mechanism Exploiting Over-the-air Computation
  2025
• FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning
  2025
• Mitigating Catastrophic Forgetting with Adaptive Transformer Block Expansion in Federated Fine-Tuning
  2025
• Efficient Federated Fine-Tuning of Large Language Models with Layer Dropout
  2025
• Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks
  2023
• Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs
  2024
• Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics
  2024
• A Robust Federated Learning Framework for Undependable Devices at Scale
  2024
• Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices
  2024