Search Results for author: Mikolaj Jankowski

Found 11 papers, 2 papers with code

Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels

no code implementations29 Nov 2023 Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk

In this work, we study early exiting in the context of collaborative inference, which allows obtaining inference results at the edge device for certain samples, without the need to transmit the partially processed data to the edge server at all, leading to further communication savings.

Collaborative Inference Image Classification

DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding

no code implementations16 Jun 2022 Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gunduz

Recent works have shown that modern machine learning techniques can provide an alternative approach to the long-standing joint source-channel coding (JSCC) problem.

DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding

no code implementations25 Nov 2021 Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gündüz

Recent works have shown that the task of wireless transmission of images can be learned with the use of machine learning techniques.

AirNet: Neural Network Transmission over the Air

no code implementations24 May 2021 Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk

We further improve the performance of AirNet by pruning the network below the available bandwidth, and expanding it for improved robustness.

Knowledge Distillation

LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training

1 code implementation29 Apr 2021 Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gunduz, Marios Kountouris, David Gesbert

Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastructure (V2I) communication is a crucial yet challenging task due to the narrow mmWave beamwidth and high user mobility.

Knowledge Distillation Position

Federated mmWave Beam Selection Utilizing LIDAR Data

3 code implementations4 Feb 2021 Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Tze-Yang Tung, Szymon Kobus, Deniz Gunduz

Efficient link configuration in millimeter wave (mmWave) communication systems is a crucial yet challenging task due to the overhead imposed by beam selection.

Deep Joint Transmission-Recognition for Multi-View Cameras

no code implementations3 Nov 2020 Ezgi Ozyilkan, Mikolaj Jankowski

We propose joint transmission-recognition schemes for efficient inference at the wireless edge.

Communicate to Learn at the Edge

no code implementations28 Sep 2020 Deniz Gunduz, David Burth Kurka, Mikolaj Jankowski, Mohammad Mohammadi Amiri, Emre Ozfatura, Sreejith Sreekumar

Bringing the success of modern machine learning (ML) techniques to mobile devices can enable many new services and businesses, but also poses significant technical and research challenges.

Wireless Image Retrieval at the Edge

no code implementations21 Jul 2020 Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk

We propose two alternative schemes based on digital and analog communications, respectively.

Image Compression Image Retrieval +1

Joint Device-Edge Inference over Wireless Links with Pruning

no code implementations4 Mar 2020 Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk

We propose a joint feature compression and transmission scheme for efficient inference at the wireless network edge.

Feature Compression General Classification +2

Deep Joint Source-Channel Coding for Wireless Image Retrieval

no code implementations28 Oct 2019 Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk

Motivated by surveillance applications with wireless cameras or drones, we consider the problem of image retrieval over a wireless channel.

Image Retrieval Retrieval

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