4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.DC2021★ 4 cited
Efficient and Less Centralized Federated Learning
Li Chou, Zichang Liu, Zhuang Wang +1
With the rapid growth in mobile computing, massive amounts of data and computing resources are now located at the edge. To this end, Federated learning (FL) is becoming a widely ad…
cs.IR2021★ 2 cited
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems
Aditya Desai, Yanzhou Pan, Kuangyuan Sun +2
Deep learning-based models are utilized to achieve state-of-the-art performance for recommendation systems. A key challenge for these models is to work with millions of categorical…
eess.SP2020
Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking
Zichang Liu, Li Chou, Anshumali Shrivastava
On-device localization and tracking are increasingly crucial for various applications. Along with a rapidly growing amount of location data, machine learning (ML) techniques are be…