📐 Optimization & Theory

🎞️ ECCV2026 · 1 paper notes

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AnaPFL: When Closed-Form Solutions Meet Generalization and Personalization in Personalized Federated Learning

AnaPFL analytically aggregates a global primary stream and then fits a local residual refinement stream on frozen visual features, requiring one aggregation round and improving accuracy over the strongest baseline in each of 18 benchmark settings by 1.57–16.71 percentage points.