S3 Labs

LEARN MORE ABOUT OUR PROJECTS!

We are developing new algorithms and applications of Machine Learning and AI

Graph Neural Networks

Graph Neural Networks are powerful tools for learning on graph data. We are scaling GNNs on SuperComputers to analyze billion scale graphs. We are also researching techniques to preseve privacy in Graph Datasets and FinTech applications.

Team: Manohar, Manisha, Dhruv, Sahithi, Rishitha, Aditya

Representative Publications:

  • Manohar Lal Das, Vishwesh Jatala, and Gagan Raj Gupta, “Joint Partitioning and Sampling Algorithm for Scaling Graph Neural Networks”, 29th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2022. (Paper)
  • Dhruv Deshmukh, Gagan Raj Gupta, Manisha Chawla, Vishwesh Jatala and Anirban Haldar, “Entropy aware training for Fast and Accurate Distributed GNN”, to appear in ICDM 2023 conference. (Code)
  • Gagan Raj Gupta, Soumajit Pramanik, Milind Thummala, Anirban Haldar, “Improved Representations using Augmented Graphs”, to appear in CODS-COMAD 2024 conference.

    • Software: EAT-DistGNN

    New Project Topics for incoming students

    A. Neural Architecture Search for Split Learning on Heterogenous devices
    B. Network (4G/5G/6G) trace analysis with LLMs
    C. Edge Video Analytics at Bhilai Steel Plant
    D. Open AI/ML (Multi-model alignment) using GNN
    E. Quantum Split Learning
    F. Edge implementation of Split Learning on 5G testbed

    Team: Your Name

    Machine Learning at Edge

    We have developed novel framework to empower Edge devices with performance of state-of-the-art deep learning models while preserving privacy. The data and labels are kept local and heavy computation tasks are offloaded to a central server.

    Team: Manas, Vidhi, Manisha

    Representative Publications:

  • Manas Wadhwa, Gagan Raj Gupta, Ashutosh Sahu, Rahul Saini and Vidhi Mittal, “PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients”, to appear in CCGRID 2023 conference. (Paper)

    • Software: PFSL

    Medical Devices

    We are constantly researching ways to bring affordable (personalized) healthcare to the masses. Current focus is on Vision, Hematology and Pathology related devices.

    Team: Harshit, Shreyas

    Time Series Analytics

    We are doing ground-breaking research for the Telecom and Heavy manufacturing industries. Our techniques allow to harness huge volumes of data to effectively monitor and avoid outages. We have developed novel data analysis and visualization algorithms.

    Team: Roodra