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FedHV: Low-Overhead Hypervolume Weighting for Federated Multi-Objective Optimization
Task-wise federated multi-objective optimization (FedMOO) trains a shared model for competing prediction objectives under heterogeneous data, partial participation, and communication constraints. Existing methods commonly derive task weights from gradient or update geometry. This requires task-speci
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