FedSS: Federated Learning with Smart Selection of clients

no code implementations • 10 Jul 2022 • Ammar Tahir, Yongzhou Chen, Prashanti Nilayam

Federated learning provides the ability to learn over heterogeneous user data in a distributed manner while preserving user privacy.

Federated Learning Scheduling

Skeptical Deep Learning with Distribution Correction

no code implementations • 9 Nov 2018 • Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma

Recently deep neural networks have been successfully used for various classification tasks, especially for problems with massive perfectly labeled training data.

Classification General Classification