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Robust Federated Learning Under Real-World Client Churn

arXiv cs.LG · 3d ago Cached

FeLiX is a new federated learning orchestration framework that optimizes time-to-target accuracy on live interaction streams by handling transient client availability, dynamic data heterogeneity, and outcome delays. It introduces streaming-aware availability tiers, fresh-utility selection, and delay-robust aggregation, reducing wall-clock time by up to 2.37x and communication bandwidth by 1.30x versus state-of-the-art baselines.

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