Multi-stage hybrid federated learning over large-scale D2D-enabled fog networks S Hosseinalipour, SS Azam, CG Brinton, N Michelusi, V Aggarwal, ... IEEE/ACM transactions on networking 30 (4), 1569-1584, 2022 | 112* | 2022 |
Semi-decentralized federated learning with cooperative D2D local model aggregations FPC Lin, S Hosseinalipour, SS Azam, CG Brinton, N Michelusi IEEE Journal on Selected Areas in Communications 39 (12), 3851-3869, 2021 | 99 | 2021 |
Cascadenet: An LSTM based deep learning model for automated ICD-10 coding SS Azam, M Raju, V Pagidimarri, VC Kasivajjala Advances in Information and Communication: Proceedings of the 2019 Future of …, 2020 | 24 | 2020 |
Can we generalize and distribute private representation learning? SS Azam, T Kim, S Hosseinalipour, C Joe-Wong, S Bagchi, C Brinton International Conference on Artificial Intelligence and Statistics, 11320-11340, 2022 | 15* | 2022 |
Recycling model updates in federated learning: Are gradient subspaces low-rank? SS Azam, S Hosseinalipour, Q Qiu, C Brinton International Conference on Learning Representations, 2022 | 13 | 2022 |
Efficient federated domain translation Z Zhou, SS Azam, CG Brinton, DI Inouye The Eleventh International Conference on Learning Representations, 2023 | 9 | 2023 |
Q-Map: clinical concept mining with phrase sense disambiguation SS Azam, M Raju, V Pagidimarri, V Kasivajjala arXiv preprint arXiv:1804.11149, 2018 | 6* | 2018 |
Federated learning beyond the star: Local D2D model consensus with global cluster sampling FPC Lin, S Hosseinalipour, SS Azam, CG Brinton, N Michelusi 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 4 | 2021 |
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-To-End ASR SS Azam, T Likhomanenko, M Pelikan, J Silovsky 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 3 | 2023 |
Federated learning with differential privacy for end-to-end speech recognition M Pelikan, SS Azam, V Feldman, J Silovsky, K Talwar, T Likhomanenko arXiv preprint arXiv:2310.00098, 2023 | 3 | 2023 |
Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR SS Azam, M Pelikan, V Feldman, K Talwar, J Silovsky, T Likhomanenko International Workshop on Federated Learning in the Age of Foundation Models …, 2023 | 3 | 2023 |
Towards Privacy and Communication Efficiency in Distributed Representation Learning SS Azam Purdue University, 2022 | 1 | 2022 |
A Generalized and Distributable Generative Model for Private Representation Learning SS Azam, T Kim, S Hosseinalipour, C Joe-Wong, S Bagchi, C Brinton NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | | 2021 |