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• DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm
  2025 · 1 citations
• FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
  2026
• Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data
  2026
• Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models
  2026
• DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models
  2026
• FedNSAM:Consistency of Local and Global Flatness for Federated Learning
  2026
• ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
  2025
• FedMuon: Accelerating Federated Learning with Matrix Orthogonalization
  2025
• FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
  2025