2 papers
cs.IR2022
FedHAP: Federated Hashing with Global Prototypes for Cross-silo Retrieval
Meilin Yang, Jian Xu, Yang Liu +1
Deep hashing has been widely applied in large-scale data retrieval due to its superior retrieval efficiency and low storage cost. However, data are often scattered in data silos wi…
cs.DC2022
SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications
Yuzhu Mao, Zihao Zhao, Meilin Yang +5
Federated learning (FL) enables edge devices to collaboratively learn a model in a distributed fashion. Many existing researches have focused on improving communication efficiency…