3 papers
cs.DC2024
Imaginary Machines: A Serverless Model for Cloud Applications
Michael Wawrzoniak, Rodrigo Bruno, Ana Klimovic +1
Serverless Function-as-a-Service (FaaS) platforms provide applications with resources that are highly elastic, quick to instantiate, accounted at fine granularity, and without the…
cs.DC2024
Boxer: FaaSt Ephemeral Elasticity for Off-the-Shelf Cloud Applications
Michael Wawrzoniak, Rodrigo Bruno, Ana Klimovic +1
Elasticity is a key property of cloud computing. However, elasticity is offered today at the granularity of virtual machines, which take tens of seconds to start. This is insuffici…
cs.LG2024
TablePuppet: A Generic Framework for Relational Federated Learning
Lijie Xu, Chulin Xie, Yiran Guo +6
Current federated learning (FL) approaches view decentralized training data as a single table, divided among participants either horizontally (by rows) or vertically (by columns).…