Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study
cs.LG, cs.CV, cs.DC
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/londonaicentre/FLIP
Terminology
Sources
- Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
- NVIDIA FLARE: Federated Learning from Simulation to Real-World
- Flower: A Friendly Federated Learning Research Framework
- Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning
- FedML: A Research Library and Benchmark for Federated Machine Learning
- Benchmarking Federated Learning Frameworks for Medical Imaging Deployment: A Comparative Study of NVIDIA FLARE, Flower, and Owkin Substra
- Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research
- Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction
- Toward Production-Ready Federated Learning in Healthcare: Privacy, Orchestration, and Governance in MLOps
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