Sheikh Shams Azam

According to our database, Sheikh Shams Azam authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping.

Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Christopher Brinton, Tatiana Likhomanenko

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2023

Federated Learning with Differential Privacy for End-to-End Speech Recognition.

Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Tatiana Likhomanenko

CoRR, 2023

Efficient Federated Domain Translation.

Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR.

Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks.

Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai

IEEE/ACM Trans. Netw., 2022

Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?

Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton

Proceedings of the Tenth International Conference on Learning Representations, 2022

Can we Generalize and Distribute Private Representation Learning?

Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations.

Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi

IEEE J. Sel. Areas Commun., 2021

Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations.

Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi

CoRR, 2021

Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling.

Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi

Proceedings of the IEEE Global Communications Conference, 2021

2020

Towards Generalized and Distributed Privacy-Preserving Representation Learning.

Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Christopher G. Brinton, Carlee Joe-Wong, Saurabh Bagchi

CoRR, 2020

Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks.

Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai

CoRR, 2020

2018

Q-Map: clinical concept mining with phrase sense disambiguation.

Sheikh Shams Azam, Manoj Raju, Venkatesh Pagidimarri, Vamsichandra Kasivajjala

CoRR, 2018