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08/25/2023
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction
Despite the recent success of Graph Neural Networks (GNNs), it remains c...
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06/20/2023
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions
The metadata service (MDS) sits on the critical path for distributed fil...
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09/04/2022
SFS: Smart OS Scheduling for Serverless Functions
Serverless computing enables a new way of building and scaling cloud app...
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09/03/2022
Sion: Elastic Serverless Cloud Storage
Cloud object storage such as AWS S3 is cost-effective and highly elastic...
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05/31/2022
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization
Despite the recent success of Graph Neural Networks (GNNs), it remains c...
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04/16/2022
A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems
Federated Learning has promised a new approach to resolve the challenges...
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12/17/2021
Community-based Layerwise Distributed Training of Graph Convolutional Networks
The Graph Convolutional Network (GCN) has been successfully applied to m...
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09/01/2021
Asynchronous Federated Learning for Sensor Data with Concept Drift
Federated learning (FL) involves multiple distributed devices jointly tr...
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05/24/2021
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute
Serverless computing, or Function-as-a-Service (FaaS), enables a new way...
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05/20/2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework
The Graph Augmented Multi-layer Perceptron (GA-MLP) model is an attracti...
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10/14/2020
Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing
Serverless computing is increasingly being used for parallel computing, ...
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10/12/2020
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data
Federated learning (FL) involves training a model over massive distribut...
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09/09/2020
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training
Alternating minimization methods have recently been proposed as alternat...
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01/28/2020
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache
Internet-scale web applications are becoming increasingly storage-intens...
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01/25/2020
TiFL: A Tier-based Federated Learning System
Federated Learning (FL) enables learning a shared model across many clie...
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10/14/2019
In Search of a Fast and Efficient Serverless DAG Engine
Python-written data analytics applications can be modeled as and compile...
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04/24/2019
Super-resolution based generative adversarial network using visual perceptual loss function
In recent years, perceptual-quality driven super-resolution methods show...
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08/08/2018
