Khanduri, Prashant

16 publications

WACV 2025 AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation Chengyin Li, Rafi Ibn Sultan, Prashant Khanduri, Yao Qiang, Chetty Indrin, Dongxiao Zhu

TMLR 2025 Distributed Hierarchical Decomposition Framework for Multimodal Timeseries Prediction Wei Ye, Prashant Khanduri, Jiangweizhi Peng, Feng Tian, Jun Gao, Jie Ding, Zhi-Li Zhang, Mingyi Hong

TMLR 2025 Linear Convergence of Decentralized FedAvg for PL Objectives: The Interpolation Regime Shruti P Maralappanavar, Prashant Khanduri, B N Bharath

WACV 2025 MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher Ebadian, Prashant Khanduri, Chetty Indrin, Kundan Thind, Dongxiao Zhu

ECCV 2024 Fairness-Aware Vision Transformer via Debiased Self-Attention Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu

ICML 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu

ICML 2023 FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong

ICML 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong

ICML 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu

ICMLW 2023 Proximal Compositional Optimization for Distributionally Robust Learning Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Joerg Kliewer, Dongxiao Zhu

ICML 2022 Anarchic Federated Learning Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu

ICLR 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi To Wai, Sijia Liu

ICML 2022 Revisiting and Advancing Fast Adversarial Training Through the Lens of Bi-Level Optimization Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu

NeurIPSW 2022 With a Little Help from My Friend: Server-Aided Federated Learning with Partial Client Participation Haibo Yang, Peiwen Qiu, Prashant Khanduri, Jia Liu

NeurIPS 2021 A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum Prashant Khanduri, Siliang Zeng, Mingyi Hong, Hoi-To Wai, Zhaoran Wang, Zhuoran Yang

NeurIPS 2021 STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod Varshney