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Advances and Open Problems in Federated Learning
2021
Foundations and Trends® in Machine Learning
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Federated Learning Research The remainder of this monograph surveys many open problems that are motivated by the constraints and challenges of real-world federated learning settings, from training models ...
These characteristics establish many of the constraints that practical federated learning systems must typically satisfy, and hence serve to both motivate and inform the open challenges in federated learning ...
doi:10.1561/2200000083
fatcat:zp4g5k3p6jgfzimh2wt4bp562y
Advances and Open Problems in Federated Learning
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:1912.04977v2 fatcat:iu324p2v7nfqnkfnxbvpu4omuyOther Versions
Motivated by the explosive growth in FL research, this paper discusses recent advances and presents an extensive collection of open problems and challenges. ...
Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a central server (e.g. service ...
Acknowledgments The authors would like to thank Alex Ingerman and David Petrou for their useful suggestions and insightful comments during the review process. ...
arXiv:1912.04977v3
fatcat:efkbqh4lwfacfeuxpe5pp7mk6a
Preparing to Olympiads in Informatics in Tatarstan Republic, Russia. The Experience of Kazan Federal University
2016
OLYMPIADS IN INFORMATICS
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It began in the 80s of XX century and now there are several centres of Olympiads in informatics in Tatarstan and one of them is the Kazan Federal University. ...
In the paper we describe the part of the history of Olympiads in informatics in the Tatarstan Republic, Russia which connected with the Kazan Federal University. ...
Students of the beginners group learn same topics and some additional, but base algorithms. Students of advanced group learn advanced algorithms of the same topics and some additional, etc. ...
doi:10.15388/ioi.2016.special.04
fatcat:wm3rp4zbmbaencmqmh3ll4npti
Federated Learning for Open Banking
[article]
2021
arXiv
pre-print
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This chapter will discuss the possible challenges for applying federated learning in the context of open banking, and the corresponding solutions have been explored as well. ...
This kind of decomposed learning framework has great potential to protect users' privacy and sensitive data. Therefore, federated learning combines naturally with an open banking data marketplaces. ...
Fig. 1 . 1 Statistical heterogeneity problem in federated learning
Fig. 2 . 2 Mode heterogeneity problem in federated learning
Fig. 3 . 3 One-class problem in federated learning
Table 1 . 1 Comparison ...
arXiv:2108.10749v1
fatcat:qbn5q6poxbdyfnktnt6svavbxm
Learning Object Repositories with Federated Searcher over the Cloud
[chapter]
2014
Advances in Intelligent Systems and Computing
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integration of federated search system. ...
This work presents a proposal for an architecture based on a cloud computing paradigm that will permit the evolution of current learning resource repositories by means of cloud computing paradigm and the ...
This and European FEDER fund Agent Societies (TIN2012- ...
doi:10.1007/978-3-319-07698-0_12
fatcat:6nbiwlk4lfb73kfvbbva7natam
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
[article]
2020
arXiv
pre-print
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We then describe key technical challenges, the corresponding federated learning methods, and open problems for future research on federated learning in the context of 6G communications. ...
In this article, we first introduce the integration of 6G and federated learning and provide potential federated learning applications for 6G. ...
Finally, we outlined out a handful of open problems and directions worth future research efforts. Fig. 3 . 3 An overview of federated learning process in 6G [24] . ...
arXiv:2006.02931v2
fatcat:df3bzirq2fcpnp7h3kagdgamiy
Imagine All the People: Citizen Science, Artificial Intelligence, and Computational Research
[article]
2021
arXiv
pre-print
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Machine learning, artificial intelligence, and deep learning have advanced significantly over the past decade. ...
Nonetheless, humans possess unique abilities such as creativity, intuition, context and abstraction, analytic problem solving, and detecting unusual events. ...
To align citizen science and crowdsourcing with Open Science and Open Data objectives, Federal Agencies will need to integrate citizen science into their cloud strategies. ...
arXiv:2104.00093v2
fatcat:h3oyom3ntfb2betmjs5j7im53a
Data Science and Artificial Intelligence
2020
IEEE Communications Magazine
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The authors conclude that an ML-based architecture for end-to-end communication system design along with an ML-based air interface are open research problems to be further investigated for initial deployments ...
All constituent elements will effectively interwork with the aim of advanced, high-quality service provisioning in a cost efficient manner, any time, any place in a seamless and transparent way, maintaining ...
This is the problem addressed in the seventh article, "Machine Learning for Endto-end Congestion Control" by Ticao Zhang and Shiwen Mao, in which a selected review of the recent advances on ML-based end-to-end ...
doi:10.1109/mcom.2020.9141187
fatcat:kszk7ystfbdo3bphkjunwr4ns4
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2009.13012v1 fatcat:yaqrllqrafdvtltoyp62ufolsi
In this paper, first, we present the recent advances of federated learning towards enabling federated learning-powered IoT applications. ...
In federated learning, only learning model updates are transferred between end-devices and the aggregation server. ...
Lessons Learned and Recommendations We have discussed recent advances in federated learning towards enabling IoT networks. ...
arXiv:2009.13012v2
fatcat:4oqifqi5czfyxiqe7gjewmuzsq
Different Approaches to the Development of Online Learning in Higher Education
2020
Propósitos y Representaciones
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The processes of online learning implementation, including e-learning and distance learning technologies in higher education have been revealed. ...
Ammosov North-Eastern Federal University is described. As a part of the study, the main approaches to the development of online learning in higher education are identified. ...
Article 16 of The Federal Law No. 273 "On Education in the Russian Federation" establishes terminological concepts of "e-learning" and "distance learning technologies". ...
doi:10.20511/pyr2020.v8nspe3.706
fatcat:vdjmnundpjhgphojwwox635zde
Current issues of digital legal education in the context of the Сovid-19 pandemic
2021
SHS Web of Conferences
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The article discusses the problems of digitalization of the higher education system of the Russian Federation faced by law faculties after the beginning of the pandemic in the spring of 2020. ...
The authors state the positive results of the transition to digital technologies as well as the existing problems, many of which are of a systemic nature and are still to be resolved. ...
The settlement of this problem requires thoughtful awareness-raising activities and the development of special advanced training courses. ...
doi:10.1051/shsconf/202110901034
fatcat:vpaehctupzbknarcrqy2xhjutu
Development and implementation of blended courses for Russian language teachers in Russia and abroad
2019
SHS Web of Conferences
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The growing popularity of massive open online courses (MOOC) stimulates teachers to appeal to the theory and practice of this philosophy. ...
MOOCs are aimed at widespread involvement of students, improvement of their progress in studies, implementation of the principles of lifelong learning throughout life, support and development of their ...
A surge of interest in open online learning is associated with the work done within the framework of federal competitions "Modern Digital Educational Environment in the Russian Federation" and with changes ...
doi:10.1051/shsconf/20196900142
fatcat:2suvub5djngepbttggchghpc6m
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
[article]
2021
arXiv
pre-print
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Existing challenges and solutions for federated learning will be discussed. ...
This chapter will discuss how federated learning can enable the development of an open health ecosystem with the support of AI. ...
Security and Privacy Challenge for Federated Learning In this section, we elaborate on the security and privacy problems in FL systems. ...
arXiv:2108.10761v1
fatcat:lp4wuhb4sre7toacoba6upfcxq
Open education courses as a relevant environment for improving professional competencies of teachers
2021
Revista Tempos e Espaços em Educação
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The authors explore the problem of developing an open education course "In search of the national Russian code: educational routes" in this article. ...
The results of this study can be used in developing an educational environment for advanced training courses. ...
In this regard, the project is focused both on the request in the Commonwealth countries and on the legislative base of the Russian Federation: -Federal Law "On Education in the Russian Federation" No. ...
doi:10.20952/revtee.v14i33.16164
fatcat:aifqqvwrzjc4ji7swdu4trmjb4
Cloud Computing and Multi Agent System to improve Learning Object Paradigm
2015
Interaction Design and Architecture(s)
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To do so, this paradigm provides different technologies and tools, such as federated search platforms and storage repositories, in order to obtain information ubiquitously and on demand. ...
This study presents an agent-based architecture that uses the advantages provided by Cloud Computing platforms to deal with the open issues on the Learning Object paradigm. ...
This work is supported by the Spanish government (MICINN) and European FEDER funds, project iHAS: Intelligent Social Computing for Human-Agent Societies (TIN2012-36586-C03-03) ...
doaj:36a34dae082b47dbb5d338a81110e8d0
fatcat:hmiafcwqifghjlekem5r3bgpge
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