2 papers
cs.DC2026
Totoro: An Adaptive and Scalable Edge Federated Learning System
Cheng-Wei Ching, Xin Chen, Taehwan Kim +3
Federated Learning (FL) is an emerging distributed machine learning (ML) technique that enables in-situ model training and inference on decentralized edge devices. We propose Totor…
cs.LG2024
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs
Vipul Gupta, Xin Chen, Ruoyun Huang +3
Graph Neural Networks (GNNs) have emerged as powerful tools for supervised machine learning over graph-structured data, while sampling-based node representation learning is widely…