Ming Xiang

SEP 4, 2026 · PREPRINT

Resilience Beyond Stationary Client Unavailability: Unlocking Efficient and Unbiased Federated Learning

arXiv

This is a preprint proposing a novel algorithmic framework for federated learning without peer-reviewed validation, reporting theoretical convergence analysis and numerical experiments rather than clinical or applied hard outcomes.