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Heterogeneous federated learning: State-of-the-art and research challenges
Federated learning (FL) has drawn increasing attention owing to its potential use in large-
scale industrial applications. Existing FL works mainly focus on model homogeneous …
scale industrial applications. Existing FL works mainly focus on model homogeneous …
Towards demystifying serverless machine learning training
The appeal of serverless (FaaS) has triggered a growing interest on how to use it in data-
intensive applications such as ETL, query processing, or machine learning (ML). Several …
intensive applications such as ETL, query processing, or machine learning (ML). Several …
Gaia:{Geo-Distributed} machine learning approaching {LAN} speeds
Machine learning (ML) is widely used to derive useful information from large-scale data
(such as user activities, pictures, and videos) generated at increasingly rapid rates, all over …
(such as user activities, pictures, and videos) generated at increasingly rapid rates, all over …
Challenges, applications and design aspects of federated learning: A survey
Federated learning (FL) is a new technology that has been a hot research topic. It enables
the training of an algorithm across multiple decentralized edge devices or servers holding …
the training of an algorithm across multiple decentralized edge devices or servers holding …
Poseidon: An efficient communication architecture for distributed deep learning on {GPU} clusters
Deep learning models can take weeks to train on a single GPU-equipped machine,
necessitating scaling out DL training to a GPU-cluster. However, current distributed DL …
necessitating scaling out DL training to a GPU-cluster. However, current distributed DL …
Scalable deep learning on distributed infrastructures: Challenges, techniques, and tools
Deep Learning (DL) has had an immense success in the recent past, leading to state-of-the-
art results in various domains, such as image recognition and natural language processing …
art results in various domains, such as image recognition and natural language processing …
Petuum: A new platform for distributed machine learning on big data
How can one build a distributed framework that allows efficient deployment of a wide
spectrum of modern advanced machine learning (ML) programs for industrial-scale …
spectrum of modern advanced machine learning (ML) programs for industrial-scale …