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Sheikh Shams Azam
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2020 – today
- 2023
- [c5]Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky:
Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR. ASRU 2023: 1-8 - [c4]Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye:
Efficient Federated Domain Translation. ICLR 2023 - [i8]Sheikh Shams Azam, Tatiana Likhomanenko, Martin Pelikan, Jan Honza Silovsky:
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR. CoRR abs/2309.13102 (2023) - [i7]Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Honza Silovsky, Kunal Talwar, Tatiana Likhomanenko:
Federated Learning with Differential Privacy for End-to-End Speech Recognition. CoRR abs/2310.00098 (2023) - 2022
- [j2]Seyyedali Hosseinalipour
, Sheikh Shams Azam
, Christopher G. Brinton
, Nicolò Michelusi
, Vaneet Aggarwal
, David J. Love
, Huaiyu Dai
:
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. IEEE/ACM Trans. Netw. 30(4): 1569-1584 (2022) - [c3]Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton:
Can we Generalize and Distribute Private Representation Learning? AISTATS 2022: 11320-11340 - [c2]Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 - [i6]Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? CoRR abs/2202.00280 (2022) - 2021
- [j1]Frank Po-Chen Lin
, Seyyedali Hosseinalipour
, Sheikh Shams Azam
, Christopher G. Brinton
, Nicolò Michelusi
:
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations. IEEE J. Sel. Areas Commun. 39(12): 3851-3869 (2021) - [c1]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. GLOBECOM 2021: 1-6 - [i5]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations. CoRR abs/2103.10481 (2021) - [i4]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. CoRR abs/2109.03350 (2021) - 2020
- [i3]Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai:
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks. CoRR abs/2007.09511 (2020) - [i2]Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Christopher G. Brinton, Carlee Joe-Wong, Saurabh Bagchi:
Towards Generalized and Distributed Privacy-Preserving Representation Learning. CoRR abs/2010.01792 (2020)
2010 – 2019
- 2018
- [i1]Sheikh Shams Azam, Manoj Raju, Venkatesh Pagidimarri, Vamsichandra Kasivajjala:
Q-Map: clinical concept mining with phrase sense disambiguation. CoRR abs/1804.11149 (2018)
Coauthor Index
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