Yongzhou@UIUC
Yongzhou@UIUC
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FedSS: Federated Learning with Smart Selection of Clients
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 …
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CoCo: Coordinated Container Scheduling with Last-Level Cache and Memory Bandwidth Partitioning
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 …
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Prism: A High-Throughput Blockchain Transaction System
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