21 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 21 cited
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Liang Gao, Huazhu Fu, Li Li +3
Federated learning (FL) allows multiple clients to collectively train a high-performance global model without sharing their private data. However, the key challenge in federated le…
cs.LG2021
DEAL: Decremental Energy-Aware Learning in a Federated System
Wenting Zou, Li Li, Zichen Xu +1
Federated learning struggles with their heavy energy footprint on battery-powered devices. The learning process keeps all devices awake while draining expensive battery power to tr…