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Koffka Khan

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#machine learning Preprint Oct 2026

ORDERS: An Empirical Study of Norm-Rank Aggregation for Personalized Federated Learning

Personalized federated learning combines shared representations with client-specific predictors, but the contribution of a server weighting rule can be obscured by local training and evaluation choices. We study ORDERS, a configuration that combines a shared backbone, a private residual adapter and classifier, geometri...

Koffka Khan · 0 citations

Auditable update-utility certificates for personalized federated learning

Reliability metadata improve federated aggregation when they predict the value of a client update for other participants when they predict the value of a client update for other participants using auditable cross-client update-utility certificates.

Koffka Khan · 0 citations

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