FedSOL: Stabilized Orthogonal Learning in Federated Learning

Federated Stabilized Orthogonal Learning (FedSOL) proposes an orthogonal learning strategy to balance conflicting objectives in Federated Learning, aiming to preserve global knowledge while effectively training on local datasets.