activity
20212023
most citedAchieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.LG2022

Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings

Ryan Yang, Haizhou Du, Andre Wibisono +1

Distributed machine learning (DML) can be an important capability for modern military to take advantage of data and devices distributed at multiple vantage points to adapt and lear…

cs.LG2022★ 1 cited

Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions

Haizhou Du, Ryan Yang, Yijian Chen +3

Distributed machine learning (DML) over time-varying networks can be an enabler for emerging decentralized ML applications such as autonomous driving and drone fleeting. However, t…