Muhamed, Aashiq

6 publications

TMLR 2025 NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Llados, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

CVPR 2024 Adversarial Text to Continuous Image Generation Kilichbek Haydarov, Aashiq Muhamed, Xiaoqian Shen, Jovana Lazarevic, Ivan Skorokhodov, Chamuditha Jayanga Galappaththige, Mohamed Elhoseiny

ICLRW 2024 Cache Me if You Can: The Case for Retrieval Augmentation in Federated Learning Aashiq Muhamed, Pratiksha Thaker, Mona T. Diab, Virginia Smith

ICLRW 2024 Fed up with Complexity: Simplifying Many-Task Federated Learning with NTKFedAvg Aashiq Muhamed, Meher Mankikar, Virginia Smith

ICMLW 2024 GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients Aashiq Muhamed, Oscar Li, David Woodruff, Mona T. Diab, Virginia Smith

AAAI 2021 Symbolic Music Generation with Transformer-GANs Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola