◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Maria Ganzha

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.PF1
ORCID 0000-0001-7714-4844
same name
  • Maria Ganzha — 7 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedEficiency of REST and gRPC realizing communication tasks in microservice-based ecosystems

19 citations · 22 across the 3 of their papers we have counts for

collaborators

3 papers

cs.PF2022★ 19 cited

Eficiency of REST and gRPC realizing communication tasks in microservice-based ecosystems

Marek Bolanowski, Kamil Żak, Andrzej Paszkiewicz +5

The aim of this contribution is to analyse practical aspects of the use of REST APIs and gRPC to realize communication tasks in applications in microservice-based ecosystems. On th…

cs.LG2022★ 3 cited

Introducing Federated Learning into Internet of Things ecosystems -- preliminary considerations

Karolina Bogacka, Katarzyna Wasielewska-Michniewska, Marcin Paprzycki +4

Federated learning (FL) was proposed to facilitate the training of models in a distributed environment. It supports the protection of (local) data privacy and uses local resources…

cs.LG2022

StatMix: Data augmentation method that relies on image statistics in federated learning

Dominik Lewy, Jacek Mańdziuk, Maria Ganzha +1

Availability of large amount of annotated data is one of the pillars of deep learning success. Although numerous big datasets have been made available for research, this is often n…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.