It is a moment of immense pride for SRM University- AP to welcome a new record maker into our midst. P Vishnu Vardhan from the Department of Computer Science Engineering has carved his name into the India Book of Records for performing 48 double-under jump rope skips in 20 seconds. He has also managed to set two records in the National Book of World Records. When most surrender their favourite hobbies to the rush of our work and academic life, this incredible student has displayed hardwork and dedication to transform his hobby into a national record.

Mr Vishnu Vardhan comments on the multiple times he succumbed to giving up his hobby of skipping ropes but realised that it was a space of refuge amidst the pressures of the world. He has shown an incredible feat of courage and dedication to set this impressive record by braving the rejection that he initially had faced.

“When I came to know about the India Book of Records, it was my parents who made me apply for it but I was rejected the first time. I had lost all hope but my friends supported me to pursue my passion for skipping rope and also helped with my academics. Finally I have entered into the National Book of Records, twice and the India Book of Records as well”, he said.

He has extended a heartfelt note towards his parents and his friends, M Surya Teja and K Nithin, for their undying support and confidence that has guided him to attain this amazing achievement.

Mr Vishnu Vardhan hopes to represent SRM University- AP at the All India Inter University rope skipping competition and provide further laurels for the institution. His journey to setting national records proves that with passion, endurance and a generous amount of optimism, even the unachievable could be achieved.

The Department of Computer Science and Engineering is delighted to announce that Assistant Professors, Dr Sambit Kumar Mishra and Dr Tapas Kumar Mishra, and the final year BTech students – Kotipalli Sindhu, Mogaparthi Surya Teja, Vutukuri Akhil, Ravella Hari Krishna, and Pakalapati Praveen – published a chapter titled Applications of Federated Learning in Computing Technologies in the scopus-indexed book titled Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation, a Wiley publication.

The book chapter describes the application of federated learning to various computing technologies. The federated learning concept is similar to the client-server model, where the client sends data to the server for processing and the processed data is again sent to the client. But, in federated learning, the clients are allowed separately to teach the deep neural network models with the local data combined with the deep neural network model at the central server.

Federated learning is a machine learning technique that trains the knowledge across different decentralized devices holding samples of information without exchanging them. The concept is additionally called collaborative learning. Researchers have used large frameworks for all the computations in the past years, and then they have moved to client-server frameworks.

It is also like a traditional centralised machine learning technique. All the local datasets are uploaded to a minimum of one server, so it assumes that local data samples are identically distributed. Because of its security and privacy concerns, it’s widely utilised in many applications like IoT, cloud computing; Edge computing, Vehicular edge computing, and many more. In the chapter, different applications of federated learning, their privacy concerns, and their definition in various fields of computing technologies like IoT, Edge Computing, Cloud Computing, Vehicular edge computing, etc. are presented. It will be of advantage to graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of intelligent computing systems.

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