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Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing
Serverless computing is increasingly being used for parallel computing, ...
10/14/2020 ∙ by Benjamin Carver, et al. ∙
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FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data
Federated learning (FL) involves training a model over massive distribut...
10/12/2020 ∙ by Zheng Chai, et al. ∙
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Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training
Alternating minimization methods have recently been proposed as alternat...
09/09/2020 ∙ by Junxiang Wang, et al. ∙
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InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache
Internet-scale web applications are becoming increasingly storage-intens...
01/28/2020 ∙ by Ao Wang, et al. ∙
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TiFL: A Tier-based Federated Learning System
Federated Learning (FL) enables learning a shared model across many clie...
01/25/2020 ∙ by Zheng Chai, et al. ∙
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In Search of a Fast and Efficient Serverless DAG Engine
Python-written data analytics applications can be modeled as and compile...
10/14/2019 ∙ by Benjamin Carver, et al. ∙
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Super-resolution based generative adversarial network using visual perceptual loss function
In recent years, perceptual-quality driven super-resolution methods show...
04/24/2019 ∙ by Xuan Zhu, et al. ∙
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Characterizing Co-located Datacenter Workloads: An Alibaba Case Study
Warehouse-scale cloud datacenters co-locate workloads with different and...
08/08/2018 ∙ by Yue Cheng, et al. ∙
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