24 citations · 38 across the 24 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020
LINDT: Tackling Negative Federated Learning with Local Adaptation
Hong Lin, Lidan Shou, Ke Chen +2
Federated Learning (FL) is a promising distributed learning paradigm, which allows a number of data owners (also called clients) to collaboratively learn a shared model without dis…
cs.DB2020★ 1 cited
An Experimental Analysis of Indoor Spatial Queries: Modeling, Indexing, and Processing
Tiantian Liu, Huan Li, Hua Lu +2
Indoor location-based services (LBS), such as POI search and routing, are often built on top of typical indoor spatial queries. To support such queries and indoor LBS, multiple tec…