Mode of the LAB Workshop: IN – PERSON at IISER Bhopal
Kindly fill the registration form attached below. Payment link will be sent to the eligible candidates.
Haroon Lone has been an Assistant Professor at IISER Bhopal since June 2021. He works in the system's domain, and his research focuses on using IoT and data analytics to solve research problems in applied domains such as Healthcare. He has a Ph.D. in CSE from IIIT Delhi. Before joining IISER Bhopal, he spent one year each at the University of Virginia and the University of South Dakota as a Postdoc and Visiting Assistant Professor, respectively.
| Name | Description |
| Day 1: Set up the federated learning environment and implement a centralized baseline model by training an MNIST classifier in PyTorch |
● Setting up the environment ● Overview of Flower / PySyft / FedML ● Implement a centralized training baseline ● Participants train a baseline MNIST classifier in PyTorch. |
| Day 2: Implement federated MNIST classification and compare the performance of centralized and federated learning approaches. |
● Federated MNIST classification ● Compare centralized vs federated learning |
| Day 3: Simulate IID and non-IID client datasets to study data heterogeneity and evaluate model convergence and performance in federated learning. |
● Partitioning datasets into non-IID distributions ● Evaluating convergence ● Simulate non-IID client datasets ● Evaluate model performance under IID and Non-IID data |
| Day 4:Implement differential privacy mechanisms in federated learning and analyze the impact of different privacy budgets on model performance. |
● Implement Differential Privacy ● Train the FL model with different privacy budgets. |
| Day 5: Build a complete federated learning pipeline using the Flower framework and run experiments with multiple simulated clients. |
● Participants implement federated learning with the Flower framework. ● Run FL experiment with 10 simulated clients. |
| Day 6: Evaluation |
Eligibility & Qualification Criteria:
Eligibility criteria for participants:
1. Basic knowledge of Python programming and introductory machine learning concepts
(e.g., classification, model training, and evaluation). Familiarity with PyTorch/TensorFlow
is desirable but not mandatory.
Basic qualification:
● Degree they can be pursuing - Faculty members, PhD scholars, postgraduate
students, and senior undergraduate students (3rd or 4th year) in Computer
Science, Data Science, Artificial Intelligence, Electrical Engineering, or related
disciplines.
Registration fee : Rs. 1000
A refund of Rs. 800 will be provided to eligible candidates upon completion of the LAB Workshop.
Please note: No refunds will be issued after the registration deadline on 22nd June, 2026
Instructions for the lab workshop: (Things to be brought, safety rules, etc):
We will be sending this through email to only selected candidates.
Internal: 50/100 (i.e., Each day there will be a quiz exam comprising 10 points)
Final exam: 50/100
Name: Haroon R Lone
Designation: Assistant professor
Email id: haroon@iiserb.ac.in
Phone number: 0755-269-2656
Email ID: nptelplus-workshop@nptel.iitm.ac.in
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