Search papers, labs, and topics across Lattice.
1
0
3
By intelligently weighting prototypes based on their uncertainty, CAFedCL sidesteps the "prototype bias loop" that plagues federated learning with imbalanced data, leading to significant gains in both accuracy and fairness.
