38 citations · 77 across the 12 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.DC2019
Decentralized Consensus Optimization Based on Parallel Random Walk
Yu Ye, Hao Chen, Zheng Ma +1
The alternating direction method of multipliers (ADMM) has recently been recognized as a promising approach for large-scale machine learning models. However, very few results study…
cs.LG2019★ 1 cited
Mobility-aware Content Preference Learning in Decentralized Caching Networks
Yu Ye, Ming Xiao, Mikael Skoglund
Due to the drastic increase of mobile traffic, wireless caching is proposed to serve repeated requests for content download. To determine the caching scheme for decentralized cachi…
cs.LG2019★ 10 cited
Decentralized Multi-Task Learning Based on Extreme Learning Machines
Yu Ye, Ming Xiao, Mikael Skoglund
In multi-task learning (MTL), related tasks learn jointly to improve generalization performance. To exploit the high learning speed of extreme learning machines (ELMs), we apply th…