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• DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
  2022 · 21 citations
• A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
  2023 · 12 citations
• Large Language Models Empowered Autonomous Edge AI for Connected Intelligence
  2023 · 8 citations
• Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
  2021 · 3 citations
• Federated Learning with GAN-based Data Synthesis for Non-IID Clients
  2022 · 3 citations
• Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity
  2021 · 2 citations
• Feature Matching Data Synthesis for Non-IID Federated Learning
  2023 · 1 citations
• FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
  2023 · 1 citations
• Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients
  2021
• Stochastic Coded Federated Learning with Convergence and Privacy Guarantees
  2022
• Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design
  2022
• Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher
  2023