Systems for serving inference requests on graph neural networks (GNN) mu...
With their high parallelism and resource needs, many scientific applicat...
Marketplaces for machine learning (ML) models are emerging as a way for
...
Hardware-based Trusted Execution Environments (TEEs) are becoming
increa...
Cloud stacks must isolate application components, while permitting effic...
Permissioned ledger systems execute transactions on a set of replicas
go...
We present a federated, asynchronous, memory-limited algorithm for onlin...
The 15th European Conference on Computer Systems (EuroSys'20) was organi...
Serverless computing is an excellent fit for big data processing because...
Hardware support for trusted execution in modern CPUs enables tenants to...
Serverless computing has become very popular today since it largely
simp...
Processing sensitive data, such as those produced by body sensors, on
th...
Deep learning models are trained on servers with many GPUs, and training...
We present the SecureCloud EU Horizon 2020 project, whose goal is to ena...
The capacity and programmability of reconfigurable hardware such as FPGA...