Tarun Adhikari

Tarun Adhikari is an accomplished academician currently affiliated with Govt. ITI Hijli in Kharagpur, India, where he is serving as an Instructor for Electronics. In his leisure time, voluntary contributions to academic development at FinesseFleet in Hyderabad, India, are engaged in by him. His academic focus spans across domains such as Digital Electronics, Telecommunication, and various disciplines within Electronics and Communication Engineering.

At Govt. ITI Hijli, consistent mentorship and guidance to numerous students in their pursuit of academic aspirations have been provided by him. The designation of an Associate Member of the Institution of Engineers (IEI), India, is held by him, and his engineering degree was earned from WBSCTE, where the institution is approved by AICTE, DTET&SD.

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Research

I'm interested in analog electronics, digital electronics, VLSI, embedded systems, optoelectronics, nano electronics, medical electronics, internet of things, computer vision, generative AI and image processing.

Privacy concerns in traditional centralized machine learning have led to the development of Federated Learning (FL), where models are trained across decentralized devices, preserving data privacy. However, aggregating updates from these devices poses potential risks to individual privacy. This paper explores Privacy-Preserving Data Aggregation (PPDA) techniques within FL to address this concern in the context of IoT applications. Key concepts, motivations, common techniques, challenges, research directions, benefits, and the importance of PPDA in FL for securing IoT applications are discussed. The paper emphasizes the need to develop lightweight, efficient, and secure PPDA schemes tailored for resource-constrained IoT devices, optimizing communication while ensuring robust privacy protections. Additionally, it advocates for exploring combined PPDA techniques and applying these methodologies across diverse IoT domains to overcome privacy challenges and comply with regulatory standards. The research underscores the crucial role of PPDA in facilitating collaborative learning while safeguarding sensitive data in IoT environments.

Miscellanea

Basically
Blog Posts

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