A historical analysis of different size/style portfolios showed that a “mix-and-match” approach produced unexpected risk ...

Federated learning (FL) has emerged as a promising paradigm that enables clients to collaboratively train a shared global model without uploading their local data. To alleviate the heterogeneous data ...