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• Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
  2022 · 13 citations
• FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
  2023 · 7 citations
• FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
  2021 · 6 citations
• Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
  2023 · 3 citations
• Rethinking Normalization Methods in Federated Learning
  2022 · 1 citations
• Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity
  2025
• Federated Unsupervised Visual Representation Learning via Exploiting General Content and Personal Style
  2022
• Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
  2023