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Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Federated learning usually employs a client-server architecture where an...
10/23/2020 ∙ by Othmane Marfoq, et al. ∙
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Dynamic backup workers for parallel machine learning
The most popular framework for distributed training of machine learning ...
04/30/2020 ∙ by Chuan Xu, et al. ∙
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Decentralized gradient methods: does topology matter?
Consensus-based distributed optimization methods have recently been advo...
02/28/2020 ∙ by Giovanni Neglia, et al. ∙
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A Swiss Army Knife for Dynamic Caching in Small Cell Networks
We consider a dense cellular network, in which a limited-size cache is a...
12/21/2019 ∙ by Giovanni Neglia, et al. ∙
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Similarity Caching: Theory and Algorithms
This paper focuses on similarity caching systems, in which a user reques...
12/09/2019 ∙ by Michele Garetto, et al. ∙
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Feedforward Neural Networks for Caching: Enough or Too Much?
We propose a caching policy that uses a feedforward neural network (FNN)...
10/16/2018 ∙ by Vladyslav Fedchenko, et al. ∙
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Implicit Coordination of Caches in Small Cell Networks under Unknown Popularity Profiles
We focus on a dense cellular network, in which a limited-size cache is a...
04/05/2018 ∙ by Emilio Leonardi, et al. ∙
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Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach
We consider elastic resource provisioning in the cloud, focusing on in-m...
02/13/2018 ∙ by Damiano Carra, et al. ∙
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Dissecting demand response mechanisms: the role of consumption forecasts and personalized offers
Demand-Response (DR) programs, whereby users of an electricity network a...
12/12/2016 ∙ by Alberto Benegiamo, et al. ∙
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Geographical Load Balancing across Green Datacenters
"Geographic Load Balancing" is a strategy for reducing the energy cost o...
12/12/2016 ∙ by Giovanni Neglia, et al. ∙
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