About

I am final year MS-R(CSE) student at IIT Kanpur. My Thesis advisor is Prof. Nisheeth Srivastava. Our paper "Federated matched averaging with information‐gain based parameter sampling" (to appear) in AIML Systems, Bangalore, 2021.
My area of interests include topics related to Federated Learning, Machine Learning, Data Structure and Algorithms.

Publication

Federated matched averaging with information‐gain based parameter sampling

Sharad Shukla, Nisheeth Srivastava. AIML Systems, Bangalore, 2021.

21-24 October 2021



  • We have developed a federated matched averaging algorithm with information‐gain based sampling that considerably reduces the number of parameters to be sent by all clients in a federated learning paradigm.
  • We also evaluated this algorithm on UCI Adult Income, MNIST, F‐MNIST and CIFAR‐10 datasets with promising results.

Education

Indian Institute of Technology, Kanpur

MS-R in Computer Science & Engineering

2019 - Present


KNIT Sultanpur

B.Tech in Computer Science & Engineering

2014 - 2018


Projects

Classification of file as Malware or Benign

Course Project(CS698M) | Guide: Prof Sandeep Shukla

Mar’20‐Mar’20



  • Extracted important features from given 200 GB of static and dynamic behaviour data of Malware and Benign applications.
  • Trained a model on selected features to get the classification of test data as benign or malware.
DeCAPTCHA

Course Project(CS771A) | Guide: Prof Purushottam Kar

Nov’19‐ Nov’19



  • Built a system to pre‐process the Obfuscated Captcha images to extract the characters present in the image.
  • Trained a Convolutional Neural network to classify the characters, combining which we get the characters in captcha.

Avatar

Sharad Shukla

Pratapgarh, Uttar Pradesh

sharad@iitk.ac.in

https://www.linkedin.com/in/sharad4296/

https://github.com/sharad4296


Skills

C, C++, Python, JavaScript

Node.js, Xampp, Docker


Languages

English

Hindi