Despite the recent success of Graph Neural Networks (GNNs), it remains
c...
The metadata service (MDS) sits on the critical path for distributed fil...
Serverless computing enables a new way of building and scaling cloud
app...
Cloud object storage such as AWS S3 is cost-effective and highly elastic...
Despite the recent success of Graph Neural Networks (GNNs), it remains
c...
Federated Learning has promised a new approach to resolve the challenges...
The Graph Convolutional Network (GCN) has been successfully applied to m...
Federated learning (FL) involves multiple distributed devices jointly
tr...
Serverless computing, or Function-as-a-Service (FaaS), enables a new way...
The Graph Augmented Multi-layer Perceptron (GA-MLP) model is an attracti...
Serverless computing is increasingly being used for parallel computing, ...
Federated learning (FL) involves training a model over massive distribut...
Alternating minimization methods have recently been proposed as alternat...
Internet-scale web applications are becoming increasingly storage-intens...
Federated Learning (FL) enables learning a shared model across many clie...
Python-written data analytics applications can be modeled as and compile...
In recent years, perceptual-quality driven super-resolution methods show...
Warehouse-scale cloud datacenters co-locate workloads with different and...