Rakuten Mobile Innovation Studio Brand Visual

Evolving
Autonomous
Networks

We are embarking on a journey in making a truly
autonomous network a reality.

Rakuten Mobile Innovation St​udio comprises of talents from diverse backgrounds and cultures and is a balanced
blend of researchers who hold PhDs, as well as highly experienced telecommunications professionals.

About Us

Publications

Di.Wu , Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor Spence, Blesson Varghese

FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning

November. 2022.

Di.Wu , Rehmat Ullah; Philip Rodgers; Peter Kilpatrick; Ivor Spence; Blesson Varghese

EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning

March. 2024.

Bailey. J. Eccles , Leon Wong, Blesson Varghese

Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization

May. 2024.

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Research Projects

Autonomous Research
Autonomous Research
Collaborations
Collaborations

Team

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News & Events

September 22, 2021

MPLS SD & AI Net World Congress 2021

September 23, 2021

MPLR 21: Managed Programming Languages and Runtimes

December 03, 2021

IEEE Globecom 2021 Industry Panel

December 03, 2021

Beyond 5G International Conference

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Blog

December 06, 2021

Member Monday: Srivatsan Vijayaraghavan

December 07, 2021

Ms. Pac-man for Autonomous Networks?

December 13, 2021

Member Monday: Laurent Bringuier

January 17, 2022

Member Monday: Chris Liu

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