Erum Mushtaq

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Neural Architecture

Tumor Segmentation

Top Venues

BrainLes@MICCAI (2)

Publications

Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. CoRR (2024)
Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr
Distributed Architecture Search Over Heterogeneous Distributions. Trans. Mach. Learn. Res. 2023 (2023)
Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr
Federated Alternate Training (Fat): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. ISBI (2023)
Erum Mushtaq, Yavuz Faruk Bakman, Jie Ding, Salman Avestimehr
Federated Alternate Training (FAT): Leveraging Unannotated Data Silos in Federated Segmentation for Medical Imaging. CoRR (2023)
Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago S. Silva R., Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. CoRR (2022)
Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Telenczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings. NeurIPS (2022)
Erum Mushtaq, Jie Ding, Salman Avestimehr
What If Kidney Tumor Segmentation Challenge (KiTS19) Never Happened. ICMLA (2022)
Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision. CoRR (2021)
Yaying Shi, Christian Micklisch, Erum Mushtaq, Salman Avestimehr, Yonghong Yan, Xiaodong Zhang
An Ensemble Approach to Automatic Brain Tumor Segmentation. BrainLes@MICCAI (2) (2021)
Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr
SPIDER: Searching Personalized Neural Architecture for Federated Learning. CoRR (2021)
Erum Mushtaq, Sajid Ali, Syed Ali Hassan
On Decoupled Decoding of Quasi-Orthogonal STBCs Using Quaternion Algebra. IEEE Syst. J. 13 (2) (2019)
Erum Mushtaq, Sajid Ali, Syed Ali Hassan
On Low Complexity ML Decoder for Quaternion Orthogonal Designs. IEEE Commun. Lett. 21 (5) (2017)
Erum Mushtaq, Sajid Ali, Syed Ali Hassan
Novel construction methods of quaternion orthogonal designs based on complex orthogonal designs. ISIT (2017)
Junaid Qadir, Nauman Ahad, Erum Mushtaq, Muhammad Bilal
SDNs, Clouds, and Big Data: New Opportunities. FIT (2014)