Xiangxu Meng

DRL-Scheduling: An Intelligent QoS-Aware Job Scheduling Framework for Applications in Clouds

2018 · IEEE Access

As an increasing number of traditional applications migrated to the cloud, achieving resource management and performance optimization in such a dynamic and uncertain environment becomes a big challenge for cloud-based application providers. In particular, job …

Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data

2023 · arXiv (Cornell University)

Federated Learning aims to learn a global model on the server side that generalizes to all clients in a privacy-preserving manner, by leveraging the local models from different clients. Existing solutions focus on either regularizing …