1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Efficient On-device Training via Gradient Filtering
Yuedong Yang, Guihong Li, Radu Marculescu
Despite its importance for federated learning, continuous learning and many other applications, on-device training remains an open problem for EdgeAI. The problem stems from the la…
cs.LG2022★ 1 cited
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning
Zihui Xue, Yuedong Yang, Mengtian Yang +1
Graph Neural Networks (GNNs) have demonstrated a great potential in a variety of graph-based applications, such as recommender systems, drug discovery, and object recognition. Neve…