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• Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
  2024 · 2 citations
• FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler
  2023 · 2 citations
• APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service
  2023 · 1 citations
• Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
  2026
• Experiences Building Enterprise-Level Privacy-Preserving Federated Learning to Power AI for Science
  2025
• AIDRIN 2.0: A Framework to Assess Data Readiness for AI
  2025
• FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud
  2025
• CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
  2025
• Enabling End-to-End Secure Federated Learning in Biomedical Research on Heterogeneous Computing Environments with APPFLx
  2023
• Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources -- A Case Study on Federated Fine-tuning of LLaMA 2
  2024
• Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
  2024