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Ajinkya K. Mulay

Ajinkya Kiran Mulay – Ajinkya Mulay

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Journal Articles

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2019
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  - journals/ieeenl/MulayBTF19
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  - https://dblp.org/rec/journals/ieeenl/MulayBTF19
Ajinkya K. Mulay, Anand M. Baswade, Bheemarjuna Reddy Tamma, A. Antony Franklin:
DFC: Dynamic UL-DL Frame Configuration Mechanism for Improving Channel Access in eLAA. IEEE Netw. Lett. 1(3): 116-119 (2019)

Conference and Workshop Papers

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2020
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  - conf/preregister/MulayBNGSSA20
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Ajinkya Mulay, Gaspard Baye, Rakshit Naidu, Santiago González-Toral, Vineeth S, Tushar Semwal, Ayush Manish Agrawal:
FedPerf: A Practitioners' Guide to Performance of Federated Learning Algorithms. Preregister@NeurIPS 2020: 302-324
2017
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Ajinkya Mulay, Hideya Ochiai, Hiroshi Esaki:
IoT WebSocket Connection Management Algorithm for Early Warning Earthquake Alert Applications. UCC (Companion") 2017: 189-194

Informal and Other Publications

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2024
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  - journals/corr/abs-2402-19016
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Ajinkya Kiran Mulay, Xiaojun Lin:
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery. CoRR abs/2402.19016 (2024)
2022
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  - journals/corr/abs-2201-00719
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Ajinkya K. Mulay, Sean Lane, Erin Hennes:
PowerGraph: Using neural networks and principal components to multivariate statistical power trade-offs. CoRR abs/2201.00719 (2022)
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  - journals/corr/abs-2205-05522
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Ajinkya K. Mulay, Sean Lane, Erin Hennes:
Private Hypothesis Testing for Social Sciences. CoRR abs/2205.05522 (2022)
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  - journals/corr/abs-2212-13071
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Ajinkya K. Mulay:
LOCKS: User Differentially Private and Federated Optimal Client Sampling. CoRR abs/2212.13071 (2022)
2021
[i1]
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  - journals/corr/abs-2107-06946
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Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed S. Zamzam:
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning. CoRR abs/2107.06946 (2021)

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