2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification
Chutian Jiang, Hansong Zhou, Xiaonan Zhang +1
Federated learning (FL) enables clients to collaboratively train machine learning models under the coordination of a server in a privacy-preserving manner. One of the main challeng…
cs.LG2022★ 2 cited
TCR: A Transformer Based Deep Network for Predicting Cancer Drugs Response
Jie Gao, Jing Hu, Wanqing Sun +5
Predicting clinical outcomes to anti-cancer drugs on a personalized basis is challenging in cancer treatment due to the heterogeneity of tumors. Traditional computational efforts h…