AFL derives closed-form solutions for federated learning on pre-trained models that enable single-round aggregation and produce identical results regardless of how data is partitioned across clients.
Fedproto: Federated prototype learning across heterogeneous clients.Proceedings of the AAAI Conference on Artificial Intelligence, 36(8):8432– 8440, 2022
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AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
AFL derives closed-form solutions for federated learning on pre-trained models that enable single-round aggregation and produce identical results regardless of how data is partitioned across clients.