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• pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
  2022 · 23 citations
• Efficient Personalized Federated Learning via Sparse Model-Adaptation
  2023 · 9 citations
• FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
  2023 · 9 citations
• Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
  2023 · 8 citations
• FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
  2022 · 6 citations
• A Benchmark for Federated Hetero-Task Learning
  2022 · 3 citations
• FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
  2022 · 2 citations
• FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
  2024 · 2 citations
• Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
  2023 · 1 citations
• FS-Real: Towards Real-World Cross-Device Federated Learning
  2023 · 1 citations
• Tree-based Models for Vertical Federated Learning: A Survey
  2025
• Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
  2024
• Understanding Byzantine Robustness in Federated Learning with A Black-box Server
  2024