The goal of this thesis is to study the compression problems arising in distributed computing systematically. In the first part of the thesis, we study gradient compression for distributed first-order optimization. We ...

The capability of hand-held devices to acquire high-definition visual content has led to a tremendous increase in the number of images and videos captured daily. However, camera hardware and pipelines are not perfect and ...

The reliable storage of Big Data across a spatially distributed network of nodes, calls for erasure-correcting codes that in addition to protecting against data loss, can also efficiently handle node repair. The need for ...

In this computer era, we all live in a place where the demand for data and computing is increasing day by day. Since the need for faster data retrieval and faster computation brings us a reliability as the solution, we ...

The primary contribution of this thesis is the comprehensive design, development, and deployment of a pyroElectric, InfraRed-sensor-based IntruSion classification (EIRIS) platform, along with attendant detection and ...

Caching is a promising technique that can reduce the amount of data transmitted over latency-prone links, effectively trading affordable memory for expensive bandwidth resources. The frequently demanded content is stored ...

A vast majority of the Internet of Things (IoT) devices will be connected in a topology where the edge-devices push data to a local gateway, which forwards the data to a cloud for further processing. In sizeable outdoor ...

Reduced feedback schemes are a crucial component of orthogonal frequency division multiplexing-based 4G and 5G cellular systems that use downlink scheduling, adaptive modulation and coding, and multiple-input-multiple-output ...

This thesis presents results on error correcting codes for settings such as: (a) distributed storage, (b) private information retrieval, and (c) low-latency streaming. It also presents two new decoding algorithms for Polar ...

Ubiquitous services in ubiquitous environments provide personalized and adaptive services to a user anytime anywhere, by considering the context information such as profile information and history of the users. Ubiquitous ...