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• FLOP: Federated Learning on Medical Datasets using Partial Networks
  2021 · 63 citations
• Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
  2022 · 13 citations
• Towards Building the Federated GPT: Federated Instruction Tuning
  2023 · 9 citations
• Towards Fair Federated Learning with Zero-Shot Data Augmentation
  2021 · 7 citations
• Federated Large Language Models: Current Progress and Future Directions
  2024 · 4 citations
• MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
  2024 · 2 citations
• Rethinking Normalization Methods in Federated Learning
  2022 · 1 citations
• FL-PLAS: Federated Learning with Partial Layer Aggregation for Backdoor Defense Against High-Ratio Malicious Clients
  2025
• Advancing Deep Learning through Probability Engineering: A Pragmatic Paradigm for Modern AI
  2025
• FADE: Enabling Federated Adversarial Training on Heterogeneous Resource-Constrained Edge Devices
  2022
• XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
  2022
• Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
  2023