Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning.

A. Mora, L. Foschini, and P. Bellavista. VTC Spring, page 1-5. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Alessio Langiu

Alessio Meneghetti

Alessio Guerri

Izidor Carlos Mora Mora

Alessio Quaglino

Other publications of authors with the same name

Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics.N. Romandini, A. Mora, C. Mazzocca, R. Montanari, and P. Bellavista. CoRR, (2024)Communication-Efficient Heterogeneous Federated Dropout in Cross-device Settings.P. Bellavista, L. Foschini, and A. Mora. GLOBECOM, page 1-6. IEEE, (2021)Edge Cloud as an Enabler for Distributed AI in Industrial IoT Applications: the Experience of the IoTwins Project.P. Bellavista, and A. Mora. AI&IoT@AI*IA, volume 2502 of CEUR Workshop Proceedings, page 1-15. CEUR-WS.org, (2019)Game Theoretic Analysis of AoI Efficiency for Participatory and Federated Data Ecosystems.A. Buratto, A. Mora, A. Bujari, and L. Badia. ICC Workshops, page 1301-1306. IEEE, (2023)Decentralised Learning in Federated Deployment Environments: A System-Level Survey.P. Bellavista, L. Foschini, and A. Mora. ACM Comput. Surv., 54 (1): 15:1-15:38 (2022)Towards an Open Translation Environment for Supporting Translators in the Materials Domain.F. Ekaputra, F. Piroi, M. Noeske, J. Friis, A. Calvio, N. Konchakova, R. Foidl, W. Cavalcanti, L. Foschini, T. Hagelien and 3 other author(s). FOMI, volume 3240 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning.A. Mora, L. Foschini, and P. Bellavista. VTC Spring, page 1-5. IEEE, (2022)Federated Learning Algorithms with Heterogeneous Data Distributions: An Empirical Evaluation.A. Mora, D. Fantini, and P. Bellavista. SEC, page 336-341. IEEE, (2022)Knowledge Distillation for Federated Learning: a Practical Guide.A. Mora, I. Tenison, P. Bellavista, and I. Rish. CoRR, (2022)Enhancing generalization in Federated Learning with heterogeneous data: A comparative literature review.A. Mora, A. Bujari, and P. Bellavista. Future Gener. Comput. Syst., (2024)

BibSonomy

Disambiguation of "Mora, Alessio"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning.

Please choose a person to relate this publication to

Alessio Langiu

Alessio Meneghetti

Alessio Guerri

Izidor Carlos Mora Mora

Alessio Quaglino

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mora, Alessio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning.

Please choose a person to relate this publication to

Alessio Langiu

Alessio Meneghetti

Alessio Guerri

Izidor Carlos Mora Mora

Alessio Quaglino

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Structured Sparse Ternary Compression for Convolutional Layers in Federated Learning.