E-LIB Suche - Ergebnisse für: Haris Vikalo

1

Reducing communication in federated learning via efficient ..:

Ribero, Mónica ; Vikalo, Haris
Pattern Recognition. 148 (2024) - p. 110122 , 2024

Link: https://doi.org/10.1016/..

2

Federated Learning in Non-IID Settings Aided by Differentia..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Chen, Huancheng ; Vikalo, Haris - p. 5027-5036 , 2023

Link: https://doi.org/10.1109/..

3

XHap: haplotype assembly using long-distance read correlati..:

Consul, Shorya ; Ke, Ziqi ; Vikalo, Haris.
Bioinformatics Advances. 3 (2023) 1 - p. , 2023

Link: https://doi.org/10.1093/..

4

Federated Learning Under Intermittent Client Availability a..:

Ribero, Monica ; Vikalo, Haris ; de Veciana, Gustavo
IEEE Journal of Selected Topics in Signal Processing. 17 (2023) 1 - p. 98-111 , 2023

Link: https://doi.org/10.1109/..

5

Accelerated Distributed Stochastic Non-Convex Optimization ..:

, In: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Chen, Yiyue ; Hashemi, Abolfazl ; Vikalo, Haris - p. 1-5 , 2023

Link: https://doi.org/10.1109/..

6

Automotive Radar Sub-Sampling via Object Detection Networks..:

Sakthi, Madhumitha ; Arvinte, Marius ; Vikalo, Haris
IEEE Open Journal of Intelligent Transportation Systems. 4 (2023) - p. 858-869 , 2023

Link: https://doi.org/10.1109/..

7

On the Benefits of Multiple Gossip Steps in Communication-C..:

Hashemi, Abolfazl ; Acharya, Anish ; Das, Rudrajit...
IEEE Transactions on Parallel and Distributed Systems. , 2022

Link: https://doi.org/10.1109/..

8

Deep learning for assembly of haplotypes and viral quasispe..:

, In: Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics,

Ke, Ziqi ; Vikalo, Haris - p. 1-10 , 2022

Link: https://dl.acm.org/doi/1..

9

Federating recommendations using differentially private pro..:

Ribero, Mónica ; Henderson, Jette ; Williamson, Sinead.
Pattern Recognition. 129 (2022) - p. 108746 , 2022

Link: https://doi.org/10.1016/..

10

End-to-end system for object detection from sub-sampled rad..:

, In: 2022 30th European Signal Processing Conference (EUSIPCO),

Sakthi, Madhumitha ; Tewfik, Ahmed ; Arvinte, Marius. - p. 1886-1890 , 2022

Link: https://doi.org/10.23919..

11

Towards accelerated greedy sampling and reconstruction of b..:

Hashemi, Abolfazl ; Shafipour, Rasoul ; Vikalo, Haris.
Signal Processing. 195 (2022) - p. 108505 , 2022

Link: https://doi.org/10.1016/..

12

On the Benefits of Progressively Increasing Sampling Sizes ..:

Hashemi, Abolfazl ; Vikalo, Haris ; de Veciana, Gustavo
IEEE Transactions on Signal Processing. 70 (2022) - p. 3978-3992 , 2022

Link: https://doi.org/10.1109/..

13

Real-Time Radio Technology and Modulation Classification vi..:

Ke, Ziqi ; Vikalo, Haris
IEEE Transactions on Wireless Communications. 21 (2022) 1 - p. 370-382 , 2022

Link: https://doi.org/10.1109/..

14

Evolutionary Clustering via Message Passing:

Arzeno, Natalia M. ; Vikalo, Haris
IEEE Transactions on Knowledge and Data Engineering. 33 (2021) 6 - p. 2452-2466 , 2021

Link: https://doi.org/10.1109/..

15

Optimizing Resource Constrained Distributed Collaborative S..:

, In: 2021 IEEE International Conference on Communications Workshops (ICC Workshops),

Stecklein, Michael ; Beytur, Hasan Burhan ; de Veciana, Gustavo. - p. 1-6 , 2021

Link: https://doi.org/10.1109/..