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 at Scale: Addressing Client Intermittenc..:

Ribero, Mónica ; Vikalo, Haris ; de Veciana, Gustavo
IEEE Journal of Selected Topics in Signal Processing. , 2024

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

3

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/..

4

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/..

5

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/..

6

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/..

7

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/..

8

Accelerating Non-IID Federated Learning via Heterogeneity-G..:

Chen, Huancheng ; Vikalo, Haris
http://arxiv.org/abs/2310.00198. , 2023

Link: http://arxiv.org/abs/231..

9

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

Madhumitha Sakthi ; Marius Arvinte ; Haris Vikalo
https://ieeexplore.ieee.org/document/10315142/. , 2023

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

10

Mixed-Precision Quantization for Federated Learning on Reso..:

Chen, Huancheng ; Vikalo, Haris
http://arxiv.org/abs/2311.18129. , 2023

Link: http://arxiv.org/abs/231..

11

Automotive RADAR sub-sampling via object detection networks..:

Sakthi, Madhumitha ; Tewfik, Ahmed ; Arvinte, Marius.
http://arxiv.org/abs/2302.10450. , 2023

Link: http://arxiv.org/abs/230..

12

XVir: A Transformer-Based Architecture for Identifying Vira..:

Consul, Shorya ; Robertson, John ; Vikalo, Haris
http://arxiv.org/abs/2308.14769. , 2023

Link: http://arxiv.org/abs/230..

13

The Best of Both Worlds: Accurate Global and Personalized M..:

Chen, Huancheng ; Johnny ; Wang.
http://arxiv.org/abs/2301.08968. , 2023

Link: http://arxiv.org/abs/230..

14

Fed-QSSL: A Framework for Personalized Federated Learning u..:

Chen, Yiyue ; Vikalo, Haris ; Wang, Chianing
http://arxiv.org/abs/2312.13380. , 2023

Link: http://arxiv.org/abs/231..

15

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/..