Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Federated Learning: Advances, Privacy Mechanisms, and Real-World Deployments
Federated Learning: Advances, Privacy Mechanisms, and Real-World Deployments
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Ruksar Fatima
,
Aliza Mahvash
,
Ayesha Siddiqua
,
Syeda Sheeba
Format:
Recurso digital
Published:
Zenodo
2025
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.17926595
Similar Items
Comparative Evaluation of Conventional Host‐Guest Inclusion Complex & Sustainable Resveratrol Loaded Hydroxypropyl‐β‐Cyclodextrin Nanosponges With Improved Therapeutic Potential
by: Ayesha Siddiqua, et al.
Published: (2026)
Resource Management in the Edge–Cloud Continuum: Trends, Algorithms, and Open Challenges
by: Ruksar Fatima, et al.
Published: (2025)
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
by: Cummings, Rachel, et al.
Published: (2023)
Index of Information Science Articles in Foreign Publications
by: Moataref, Mahvash
Published: (1996)
Computer-Aided Osteoporosis Diagnosis Using Transfer Learning with Enhanced Features from Stacked Deep Learning Modules
by: Siddiqua, Ayesha, et al.
Published: (2024)