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Tahseen Rabbani
Tahseen Rabbani
Verified email at umd.edu
Title
Cited by
Cited by
Year
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
M Bornstein, T Rabbani, E Wang, AS Bedi, F Huang
The Eleventh International Conference on Learning Representations, 2023
82023
Sketch-GNN: Scalable graph neural networks with sublinear training complexity
M Ding, T Rabbani, B An, E Wang, F Huang
Advances in Neural Information Processing Systems 35, 2930-2943, 2022
62022
Faster hyperparameter search on graphs via calibrated dataset condensation
M Ding, X Liu, T Rabbani, F Huang
NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022
32022
Fast gpu convolution for cp-decomposed tensorial neural networks
A Reustle, T Rabbani, F Huang
Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2021
32021
Benchmarking the Robustness of Image Watermarks
B An, M Ding, T Rabbani, A Agrawal, Y Xu, C Deng, S Zhu, A Mohamed, ...
arXiv preprint arXiv:2401.08573, 2024
12024
Constructions of difference sets in nonabelian 2-groups
T Applebaum, J Clikeman, JA Davis, JF Dillon, J Jedwab, T Rabbani, ...
Algebra & Number Theory 17 (2), 359-396, 2023
12023
Practical and Fast Momentum-Based Power Methods
T Rabbani, A Jain, A Rajkumar, F Huang
Mathematical and Scientific Machine Learning, 721-756, 2022
12022
Comfetch: Federated Learning of Large Networks on Memory-Constrained Clients via Sketching
T Rabbani, B Feng, Y Yang, A Rajkumar, A Varshney, F Huang
arXiv e-prints, arXiv: 2109.08346, 2021
12021
Large-Scale Distributed Learning via Private On-Device LSH
T Rabbani, M Bornstein, F Huang
Advances in Neural Information Processing Systems 36, 2024
2024
conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks
T Rabbani, J Su, X Liu, D Chan, G Sangston, F Huang
arXiv preprint arXiv:2401.03384, 2024
2024
Calibrated Dataset Condensation for Faster Hyperparameter Search
M Ding, Y Xu, T Rabbani, X Liu, B Gravelle, T Ranadive, F Huang
2023
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing
T Rabbani, M Bornstein, F Huang
arXiv preprint arXiv:2306.02563, 2023
2023
Faster Hyperparameter Search for GNNs via Calibrated Dataset Condensation
M Ding, X Liu, T Rabbani, T Ranadive, TC Tuan, F Huang
2022
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching
T Rabbani, B Feng, M Bornstein, KR Sang, Y Yang, A Rajkumar, ...
arXiv preprint arXiv:2109.08346, 2021
2021
Non-Abelian orthogonal building sets
T Rabbani, KW Smith
Finite Fields and their Applications: Proceedings of the 14th International …, 2020
2020
Unique minimal forcing sets and forced representation of integers by quadratic forms
T Rabbani
Rose-Hulman Undergraduate Mathematics Journal 17 (1), 1, 2016
2016
Improving the error-correcting code used in 3-G communication
T Rabbani
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Articles 1–17