논문 링크: Federated Learning: Challenges, Methods, and Future DirectionsFederated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or hospitals, while keeping data localized. Training in heterogeneous and potentially massive networks introduces novel challenges thaieeexplore.ieee.org 출처: T. Li, A. K. Sahu, A. Talwalkar and V. Smith, "F..
