Ajinkya K. Mulay

According to our database, Ajinkya K. Mulay authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery.

Ajinkya K. Mulay, Xiaojun Lin

Trans. Mach. Learn. Res., 2024

2022

LOCKS: User Differentially Private and Federated Optimal Client Sampling.

Ajinkya K. Mulay

CoRR, 2022

Private Hypothesis Testing for Social Sciences.

Ajinkya K. Mulay, Sean Lane, Erin Hennes

CoRR, 2022

PowerGraph: Using neural networks and principal components to multivariate statistical power trade-offs.

Ajinkya K. Mulay, Sean Lane, Erin Hennes

CoRR, 2022

2021

Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning.

Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed S. Zamzam

CoRR, 2021

2020

FedPerf: A Practitioners' Guide to Performance of Federated Learning Algorithms.

Ajinkya Mulay, Gaspard Baye, Rakshit Naidu, Santiago González-Toral, Vineeth S, Tushar Semwal, Ayush Manish Agrawal

Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

2019

DFC: Dynamic UL-DL Frame Configuration Mechanism for Improving Channel Access in eLAA.

Ajinkya K. Mulay, Anand M. Baswade, Bheemarjuna Reddy Tamma, A. Antony Franklin

IEEE Netw. Lett., 2019

2017

IoT WebSocket Connection Management Algorithm for Early Warning Earthquake Alert Applications.

Ajinkya Mulay, Hideya Ochiai, Hiroshi Esaki

Proceedings of the Companion Proceedings of the 10th International Conference on Utility and Cloud Computing, 2017