no code implementations • 17 Jul 2022 • Cihat Keçeci, Mohammad Shaqfeh, Hayat Mbayed, Erchin Serpedin
So, supporting federated learning with meta-learning tools such as multi-task learning and transfer learning will help enlarge the set of potential applications of federated learning by letting clients of different but related tasks share task-agnostic models that can be then further updated and tailored by each individual client for its particular task.