Search Results for author: Lukasz Dudziak

Found 3 papers, 1 papers with code

FedorAS: Federated Architecture Search under system heterogeneity

no code implementations22 Jun 2022 Lukasz Dudziak, Stefanos Laskaridis, Javier Fernandez-Marques

In this paper we explore the question of whether we can design architectures of different footprints in a cross-device federated setting, where the device landscape, availability and scale are very different.

Federated Learning Neural Architecture Search

EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

1 code implementation6 May 2022 Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, Brais Martinez

In this work, pushing further along this under-studied direction we introduce EdgeViTs, a new family of light-weight ViTs that, for the first time, enable attention-based vision models to compete with the best light-weight CNNs in the tradeoff between accuracy and on-device efficiency.

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

no code implementations28 Sep 2021 Mario Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane

To this end, we analyse over 16k of the most popular apps in the Google Play Store to characterise their DNN usage and performance across devices of different capabilities, both across tiers and generations.

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