Prashant Khanduri

71 papers A* 12A 4B 3C 1Misc 7Journal 35Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Not All Tokens Are Meant to Be Forgotten.
AAAI
Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu
2026 J jnl
WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation.
CoRR
Rafi Ibn Sultan, Hui Zhu, Xiangyu Zhou, Chengyin Li, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu
2025 — conf
A Surrogate-Assisted Co-Evolutionary Framework for Bilevel Optimization.
IJCCI (2)
Sanup Araballi, Venkata Gandikota, Pranay Sharma, Prashant Khanduri, Chilukuri K. Mohan
2025 A conf
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation.
WACV
Chengyin Li, Rafi Ibn Sultan, Prashant Khanduri, Yao Qiang, Chetty J. Indrin, Dongxiao Zhu
2025 A conf
Automatic Calibration for Membership Inference Attack on Large Language Models.
ECAI
Saleh Zare Zade, Yao Qiang, Xiangyu Zhou, Hui Zhu, Mohammad Amin Roshani, Prashant Khanduri, Dongxiao Zhu
2025 J jnl
Automatic Calibration for Membership Inference Attack on Large Language Models.
CoRR
Saleh Zare Zade, Yao Qiang, Xiangyu Zhou, Hui Zhu, Mohammad Amin Roshani, Prashant Khanduri, Dongxiao Zhu
2025 J jnl
Distributed Hierarchical Decomposition Framework for Multimodal Timeseries Prediction.
Trans. Mach. Learn. Res.
Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong
2025 A conf
GeoSAM: Fine-Tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation.
ECAI
Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu
2025 B conf
Interpretability-Aware Vision Transformer.
IJCNN
Yao Qiang, Chengyin Li, Hui Zhu, Prashant Khanduri, Dongxiao Zhu
2025 J jnl
Linear Convergence of Decentralized FedAvg for PL Objectives: The Interpolation Regime.
Trans. Mach. Learn. Res.
Shruti P. Maralappanavar, Prashant Khanduri, B. N. Bharath
2025 A conf
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training.
WACV
Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Chetty J. Indrin, Kundan Thind, Dongxiao Zhu
2025 J jnl
Not All Tokens Are Meant to Be Forgotten.
CoRR
Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu
2024 J jnl
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning.
IEEE Signal Process. Mag.
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
2024 A* conf
Byzantine-Robust Decentralized Federated Learning.
CCS
Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Gong
2024 J jnl
Byzantine-Robust Decentralized Federated Learning.
CoRR
Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Zhenqiang Gong
2024 — conf
Fairness-Aware Vision Transformer via Debiased Self-Attention.
ECCV (37)
Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
2024 J jnl
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training.
CoRR
Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Kundan Thind, Dongxiao Zhu
2024 — conf
SHARE: A Distributed Learning Framework For Multivariate Time-Series Forecasting.
SPAWC
Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong
2024 A* conf
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation.
ICML
Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2024 J jnl
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation.
CoRR
Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu
2023 Misc conf
An Implicit Gradient Method for Constrained Bilevel Problems Using Barrier Approximation.
ICASSP
Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong
2023 J jnl
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.
CoRR
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
2023 J jnl
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation.
CoRR
Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu
2023 A* conf
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization.
INFOCOM
Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck
2023 J jnl
Fairness-aware Vision Transformer via Debiased Self-Attention.
CoRR
Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
2023 A* conf
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks.
ICML
Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong
2023 Misc conf
FedAvg for Minimizing Polyak-Łojasiewicz Objectives: The Interpolation Regime.
ACSSC
Shruti M., Prashant Khanduri, B. N. Bharath
2023 J jnl
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning.
CoRR
Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu
2023 — conf
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images.
MICCAI (3)
Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu
2023 J jnl
GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure.
CoRR
Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu
2023 J jnl
Interpretability-Aware Vision Transformer.
CoRR
Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
2023 A* conf
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach.
ICML
Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong
2023 A* conf
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning.
ICML
Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022 Misc conf
An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems.
ICASSP
Ioannis C. Tsaknakis, Prashant Khanduri, Mingyi Hong
2022 A* conf
Anarchic Federated Learning.
ICML
Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
2022 J jnl
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization.
CoRR
Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck
2022 A* conf
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach.
ICLR
Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu
2022 J jnl
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks.
CoRR
Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022 B conf
INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks.
MobiHoc
Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022 A* conf
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
ICML
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
2021 J jnl
A Momentum-Assisted Single-Timescale Stochastic Approximation Algorithm for Bilevel Optimization.
CoRR
Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021 A* conf
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum.
NeurIPS
Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang
2021 J jnl
Anarchic Federated Learning.
CoRR
Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu
2021 J jnl
Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations.
IEEE Trans. Signal Inf. Process. over Networks
Saikiran Bulusu, Prashant Khanduri, Swatantra Kafle, Pranay Sharma, Pramod K. Varshney
2021 J jnl
Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network.
IEEE Trans. Signal Process.
Xiancheng Cheng, Prashant Khanduri, Baixiao Chen, Pramod K. Varshney
2021 J jnl
Joint Collaboration and Compression Design for Random Signal Detection in Wireless Sensor Networks.
IEEE Signal Process. Lett.
Xiancheng Cheng, Baocheng Geng, Prashant Khanduri, Baixiao Chen, Pramod K. Varshney
2021 — conf
On Distributed Detection with Random Distortion Testing.
ISIVC
Sabrina Bourmani, François-Xavier Socheleau, Dominique Pastor, Prashant Khanduri, Pramod K. Varshney
2021 — conf
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit.
ACSCC
Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci, Pramod K. Varshney
2021 J jnl
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
CoRR
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
2021 A* conf
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
NeurIPS
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
2021 J jnl
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.
CoRR
Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod K. Varshney
2020 J jnl
Distributed Sequential Detection: Dependent Observations and Imperfect Communication.
IEEE Trans. Signal Process.
Shan Zhang, Prashant Khanduri, Pramod K. Varshney
2020 J jnl
Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction.
CoRR
Prashant Khanduri, Pranay Sharma, Swatantra Kafle, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
2020 J jnl
On Distributed Online Convex Optimization with Sublinear Dynamic Regret and Fit.
CoRR
Pranay Sharma, Prashant Khanduri, Lixin Shen, Donald J. Bucci Jr., Pramod K. Varshney
2020 Misc conf
On Distributed Stochastic Gradient Descent for Nonconvex Functions in the Presence of Byzantines.
ICASSP
Saikiran Bulusu, Prashant Khanduri, Pranay Sharma, Pramod K. Varshney
2019 J jnl
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations.
CoRR
Prashant Khanduri, Saikiran Bulusu, Pranay Sharma, Pramod K. Varshney
2019 Misc conf
Distributed Sequential Hypothesis Testing with Dependent Sensor Observations.
ACSSC
Shan Zhang, Prashant Khanduri, Pramod K. Varshney
2019 J jnl
Online Design of Optimal Precoders for High Dimensional Signal Detection.
IEEE Trans. Signal Process.
Prashant Khanduri, Lakshmi Narasimhan Theagarajan, Pramod K. Varshney
2019 — conf
Online Linear Compression with Side Information for Distributed Detection of High Dimensional Signals.
SPAWC
Prashant Khanduri, Lakshmi Narasimhan Theagarajan, Pramod K. Varshney
2019 J jnl
Parallel Restarted SPIDER - Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity.
CoRR
Pranay Sharma, Prashant Khanduri, Saikiran Bulusu, Ketan Rajawat, Pramod K. Varshney
2019 J jnl
Sequential Random Distortion Testing of Non-Stationary Processes.
IEEE Trans. Signal Process.
Prashant Khanduri, Dominique Pastor, Vinod Sharma, Pramod K. Varshney
2019 J jnl
Truncated Sequential Non-Parametric Hypothesis Testing Based on Random Distortion Testing.
IEEE Trans. Signal Process.
Prashant Khanduri, Dominique Pastor, Vinod Sharma, Pramod K. Varshney
2018 — conf
On Random Distortion Testing Based Sequential Non-Parametric Hypothesis Testing
Allerton
Prashant Khanduri, Dominique Pastor, Vinod Sharma, Pramod K. Varshney
2018 Misc conf
On Sequential Random Distortion Testing of Non-Stationary Processes.
ICASSP
Prashant Khanduri, Dominique Pastor, Vinod Sharma, Pramod K. Varshney
2018 C conf
Online Design of Precoders for High Dimensional Signal Detection in Wireless Sensor Networks.
FUSION
Prashant Khanduri, Lakshmi Narasimhan Theagarajan, Pramod K. Varshney
2018 J jnl
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory.
CoRR
Kush R. Varshney, Prashant Khanduri, Pranay Sharma, Shan Zhang, Pramod K. Varshney
2017 Misc conf
A unified diversity measure for distributed inference.
ICASSP
Prashant Khanduri, Aditya Vempaty, Pramod K. Varshney
2016 — conf
Detection diversity of spatio-temporal data using Pitman's efficiency for low SNR regimes.
GlobalSIP
Prashant Khanduri, Vinod Sharma, Pramod K. Varshney
2016 J jnl
Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach.
CoRR
Prashant Khanduri, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Pramod K. Varshney
2016 J jnl
Universal Collaboration Strategies for Signal Detection: A Sparse Learning Approach.
IEEE Signal Process. Lett.
Prashant Khanduri, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Pramod K. Varshney
2014 B conf
Coverage analysis and training optimization for uplink cellular networks with practical channel estimation.
GLOBECOM
Prashant Khanduri, Bettagere Nagaraja Bharath, Chandra R. Murthy