Projects

Federated learning is a privacy preserving method of distributed machine learning over heterogeneous user data. However, its current clients selection technique is a source of bias as it discriminates against slow clients …

Last-level cache (LLC) and memory bandwidth partitioning are commonly used in existing work to meet QoS requirements of all co-scheduled latency-critical applications consolidated on a physical server …