Jayaram K Radhakrishnan

Publications

• Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning

  • • Rahul Bhope
    • Jayaram Kr Kallapalayam Radhakrishnan
    • et al.
  • 2025
  • Middleware 2025

  Conference paper

• OptiSeq: Ordering Examples On-The-Fly for In-Context Learning

  • • Rahul Bhope
    • Praveen Venkateswaran
    • et al.
  • 2025
  • EMNLP 2025

  Paper

• Performance of Confidential Computing GPUs

  • • Antonio Martınez Ibarra
    • Julian James Stephen
    • et al.
  • 2025
  • ICDCS 2025

  Conference paper

• On Automating Security Policies with Contemporary LLMs

  • • Pablo Fernandez Saura
    • Jayaram Kr Kallapalayam Radhakrishnan
    • et al.
  • 2025
  • SSE 2025

  Conference paper

• DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation

  • • Pau-Chen Cheng
    • Kevin Eykholt
    • et al.
  • 2024
  • EuroSys 2024

  Conference paper

• Adaptive Aggregation For Federated Learning

  • • K. R. Kallapalayam Radhakrishnan
    • Vinod Muthusamy
    • et al.
  • 2022
  • Big Data 2022

  Conference paper

• Just-in-Time Aggregation for Federated Learning

  • • K. R. Kallapalayam Radhakrishnan
    • Ashish Verma
    • et al.
  • 2022
  • MASCOTS 2022

  Conference paper

• Effective Elastic Scaling of Deep Learning Workloads

  • • Vaibhav Saxena
    • Jayaram Kr Kallapalayam Radhakrishnan
    • et al.
  • 2020
  • MASCOTS 2020

  Conference paper

• MYSTIKO: Cloud-mediated, private, federated gradient descent

  • • Jayaram Kr Kallapalayam Radhakrishnan
    • Archit Verma
    • et al.
  • 2020
  • CLOUD 2020

  Conference paper

• FFDL: A Flexible Multi-tenant Deep Learning Platform

  • • Jayaram Kr Kallapalayam Radhakrishnan
    • Vinod Muthusamy
    • et al.
  • 2019
  • Middleware 2019

  Conference paper