A fast converging method for common mode sensor based impulse noise cancellation for downstream VDSL. - Ramanjit Ahuja; Arpita Gang; Pravesh Biyani; Surendra Prasad (EUSIPCO, 2016)

On Discriminative Framework for Single Channel Audio Source Separation. - Arpita Gang; Pravesh Biyani (INTERSPEECH, 2016)

Towards Automated Single Channel Source Separation Using Neural Networks. - Arpita Gang; Pravesh Biyani; Akshay Soni (INTERSPEECH, 2018)

Fast and Communication-efficient Distributed Pca. - Arpita Gang; Haroon Raja; Waheed U. Bajwa (ICASSP, 2019)

Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized. - Zhixiong Yang 002; Arpita Gang; Waheed U. Bajwa (CoRR, 2019)

Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model. - Zhixiong Yang 002; Arpita Gang; Waheed U. Bajwa (IEEE Signal Process. Mag., 2020)

Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation. - Arpita Gang; Bingqing Xiang; Waheed U. Bajwa (IEEE Trans. Signal Inf. Process. over Networks, 2021)

The Best of Both Worlds: Distributed PCA That is Both Exact and Communication Efficient. - Arpita Gang; Waheed U. Bajwa (EUSIPCO, 2022)

A linearly convergent algorithm for distributed principal component analysis. - Arpita Gang; Waheed U. Bajwa (Signal Process., 2022)

FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis. - Arpita Gang; Waheed U. Bajwa (IEEE Trans. Signal Process., 2022)

C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA. - Muhammad Zulqarnain; Arpita Gang; Waheed U. Bajwa (CISS, 2023)