Carlo Fischione

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KTH Royal Institute of Technology

Sweden

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Recent Grants

Grant: Close

ARCTIC: contAct tRaCing prevenTion of Covid-19

Open Date: 2020-12-01

Close Date: 2021-12-31

Grant: Close

Machine Learning over Networks

Open Date: 2020-01-01

Close Date: 2023-12-31

Grant: Close

MATCHIT - Matching efficient demand and supply by incentivizing end-users in buildings

Open Date: 2017-06-15

Close Date: 2020-03-31

Grant: Close

ADvANCE - Applicable DemANd Control of Energy

Open Date: 2017-01-01

Close Date: 2020-12-31

Grant: Close

PRESIDIUM - PRivacy prEServIng DIstribUted OptiMization

Open Date: 2016-01-01

Close Date: 2019-12-31

Articles (20)

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2022

Collaborators (17)

Jose Mairton Barros da Silva Júnior

Assistant Professor

Uppsala University

SWEDEN

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Jan Østergaard

DENMARK

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Gabor Fodor

KTH Royal Institute of Technology

SWEDEN

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Afsaneh Mahmoudi

KTH Royal Institute of Technology

SWEDEN

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Zheng Chen

Associate Professor

Linköping University

SWEDEN

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Henrik Hellström

KTH Royal Institute of Technology

SWEDEN

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Bo Göransson

KTH Royal Institute of Technology

SWEDEN

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Hossein Shokri-Ghadikolaei

KTH Royal Institute of Technology

SWEDEN

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Xinyu Huang

KTH Royal Institute of Technology

SWEDEN

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Alphan Şahin

University of South Carolina

UNITED STATES

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Nils Peters

Assistant Professor for Acoustics, Audio DSP & ML

Trinity College Dublin

IRELAND

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Luca Turchet

Associate Professor

University of Trento

ITALY

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Thaha Mohammed

Aalto University

FINLAND

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Tom Bäckström

Professor

Aalto University

FINLAND

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Qianwen Xu

Associate Professor at KTH Royal Institute of Technology

KTH Royal Institute of Technology

SWEDEN

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Mats Bengtsson

KTH Royal Institute of Technology

SWEDEN

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Shashi KANT

KTH Royal Institute of Technology

SWEDEN

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Carlo Fischione

Research Interests

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Recent Grants

Articles (20)

Clustering of Geographical Segments for Predictive Quality of Service of Connected Vehicles

Waveforms for Computing Over the Air: A groundbreaking approach that redefines data aggregation

Low-Complexity OTFS-Based Over-the-Air Computation Design for Time-Varying Channels

ReMAC: Digital Multiple Access Computing by Repeated Transmissions

Timely and Painless Breakups: Off-the-Grid Blind Message Recovery and Users’ Demixing

FedCau: A Proactive Stop Policy for Communication and Computation Efficient Federated Learning

ChannelComp: A General Method for Computation by Communications

SumComp: Coding for Digital Over-the-Air Computation via the Ring of Integers

Blind Federated Learning via Over-the-Air q-QAM

Leakage detection in water distribution networks using machine-learning strategies

Federated Learning Using Three-Operator ADMM

Distributed Assignment With Load Balancing for DNN Inference at the Edge

The Internet of Sounds: Convergent Trends, Insights, and Future Directions

A General Framework to Distribute Iterative Algorithms with Localized Information over Networks

Federated Learning Over-the-Air by Retransmissions

Hierarchical Online Game-Theoretic Framework for Real-Time Energy Trading in Smart Grid

On the Convergence of Inexact Gradient Descent With Controlled Synchronization Steps

On the Primal Feasibility in Dual Decomposition Methods Under Additive and Bounded Errors

Over-the-Air Computation for Distributed Systems: Something Old and Something New

EVM Mitigation With PAPR and ACLR Constraints in Large-Scale MIMO-OFDM Using TOP-ADMM

Collaborators (17)

Jose Mairton Barros da Silva Júnior

Jan Østergaard

Gabor Fodor

Afsaneh Mahmoudi

Zheng Chen

Henrik Hellström

Bo Göransson

Hossein Shokri-Ghadikolaei

Xinyu Huang

Alphan Şahin

Nils Peters

Luca Turchet

Thaha Mohammed

Tom Bäckström

Qianwen Xu

Mats Bengtsson

Shashi KANT

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