Search Results for author: Nitish Mital

Found 7 papers, 5 papers with code

Features-over-the-Air: Contrastive Learning Enabled Cooperative Edge Inference

no code implementations17 Apr 2023 Haotian Wu, Nitish Mital, Krystian Mikolajczyk, Deniz Gündüz

We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object, which are then used jointly to retrieve similar images at the edge server over a shared multiple access channel.

Contrastive Learning Image Retrieval +1

Collaborative Semantic Communication for Edge Inference

no code implementations10 Jan 2023 Wing Fei Lo, Nitish Mital, Haotian Wu, Deniz Gündüz

We study the collaborative image retrieval problem at the wireless edge, where multiple edge devices capture images of the same object from different angles and locations, which are then used jointly to retrieve similar images at the edge server over a shared multiple access channel (MAC).

Image Retrieval Retrieval

Neural Distributed Image Compression with Cross-Attention Feature Alignment

1 code implementation18 Jul 2022 Nitish Mital, Ezgi Ozyilkan, Ali Garjani, Deniz Gunduz

In the proposed method, the decoder employs a cross-attention module to align the feature maps obtained from the received latent representation of the input image and a latent representation of the side information.

Image Compression

Neural Distributed Image Compression using Common Information

3 code implementations22 Jun 2021 Nitish Mital, Ezgi Ozyilkan, Ali Garjani, Deniz Gunduz

The received latent representation and the locally generated common information are passed through a decoder network to obtain an enhanced reconstruction of the input image.

Image Compression

Dopamine: Differentially Private Federated Learning on Medical Data

1 code implementation27 Jan 2021 Mohammad Malekzadeh, Burak Hasircioglu, Nitish Mital, Kunal Katarya, Mehmet Emre Ozfatura, Deniz Gündüz

While rich medical datasets are hosted in hospitals distributed across the world, concerns on patients' privacy is a barrier against using such data to train deep neural networks (DNNs) for medical diagnostics.

Federated Learning

Secure Distributed Matrix Computation with Discrete Fourier Transform

3 code implementations8 Jul 2020 Nitish Mital, Cong Ling, Deniz Gunduz

We consider the problem of secure distributed matrix computation (SDMC), where a \textit{user} queries a function of data matrices generated at distributed \textit{source} nodes.

Information Theory Cryptography and Security Distributed, Parallel, and Cluster Computing Information Theory

Practical Functional Regenerating Codes for Broadcast Repair of Multiple Nodes

3 code implementations15 Apr 2019 Nitish Mital, Katina Kralevska, Cong Ling, Deniz Gunduz

A code construction and repair scheme for optimal functional regeneration of multiple node failures is presented, which is based on stitching together short MDS codes on carefully chosen sets of points lying on a linearized polynomial.

Information Theory Information Theory

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