Sheikh Shams Azam

Orcid: 0000-0001-7678-5092

According to our database1, Sheikh Shams Azam authored at least 12 papers between 2018 and 2023.

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Bibliography

2023
Federated Learning with Differential Privacy for End-to-End Speech Recognition.
CoRR, 2023

Efficient Federated Domain Translation.
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.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks.
IEEE/ACM Trans. Netw., 2022

Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Can we Generalize and Distribute Private Representation Learning?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations.
IEEE J. Sel. Areas Commun., 2021

Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations.
CoRR, 2021

Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Towards Generalized and Distributed Privacy-Preserving Representation Learning.
CoRR, 2020

Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks.
CoRR, 2020

2018
Q-Map: clinical concept mining with phrase sense disambiguation.
CoRR, 2018


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