Prashant Khanduri
Orcid: 0000-0003-3055-2917
According to our database1,
Prashant Khanduri
authored at least 43 papers
between 2014 and 2023.
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Bibliography
2023
CoRR, 2023
GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure.
CoRR, 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.
CoRR, 2023
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization.
Proceedings of the IEEE INFOCOM 2023, 2023
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network.
IEEE Trans. Signal Process., 2021
IEEE Trans. Signal Inf. Process. over Networks, 2021
Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks.
IEEE Signal Process. Lett., 2021
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 10th International Symposium on Signal, Image, Video and Communications, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Distributed Sequential Detection: Dependent Observations and Imperfect Communication.
IEEE Trans. Signal Process., 2020
CoRR, 2020
On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
IEEE Trans. Signal Process., 2019
IEEE Trans. Signal Process., 2019
Truncated Sequential Non-Parametric Hypothesis Testing Based on Random Distortion Testing.
IEEE Trans. Signal Process., 2019
Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity.
CoRR, 2019
CoRR, 2019
Online Linear Compression with Side Information for Distributed Detection of High Dimensional Signals.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory.
CoRR, 2018
Online Design of Precoders for High Dimensional Signal Detection in Wireless Sensor Networks.
Proceedings of the 21st International Conference on Information Fusion, 2018
On Random Distortion Testing Based Sequential Non-Parametric Hypothesis Testing<sup>*</sup>.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
IEEE Signal Process. Lett., 2016
Detection diversity of spatio-temporal data using Pitman's efficiency for low SNR regimes.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2014
Coverage analysis and training optimization for uplink cellular networks with practical channel estimation.
Proceedings of the IEEE Global Communications Conference, 2014