I am broadly interested in Privacy-Preserving Machine, Federated Learning and Automated Machine Learning.

Papers

  • Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
    Authors: Rakshit Naidu, Harshita Diddee, Ajinkya K Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed Zamzam
    Manuscript Link

  • FedPerf: A Practitioners’ Guide to Performance of Federated Learning Algorithms
    Authors: Ajinkya K Mulay Tushar Semwal, Ayush Manish Agrawal
    Manuscript Link

  • DFC: Dynamic UL-DL Frame Configuration Mechanism for Improving Channel Access in eLAA.
    Authors: Ajinkya K Mulay, Anand Baswade, Bheemarjuna Tamma, Anthony Franklin.
    Manuscript Link.

  • IoT WebSocket Connection Management Algorithm for Early Warning Earthquake Alert Applications.
    Authors: Ajinkya K Mulay, Hideya Ochiai, Hiroshi Esaki.
    Manuscript Link.

  • A Novel Electric Network Frequency Classification Algorithm And An Electrical Power Signal Measurement Circuit.
    Authors: CP Konkimalla, SR Dyuthi, SA, H Machiraju, P Bajjuri, W Akram, P Kumar, Ajinkya K Mulay, S Siddamsetty, Asvini R, Francis KJ, SS Channappayya.
    Manuscript Link.

Preprints

  • Private Hypothesis Testing for Social Sciences Ajinkya K Mulay, Sean Lane, Erin Hennes
    Manuscript Link

  • PowerGraph: Using neural networks and principal components to multivariate statistical power trade-offs Ajinkya K Mulay, Sean Lane, Erin Hennes
    Manuscript Link