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Volume 5 · 2023 · Cloud-Native & Edge Computing

Proceedings of the 5th International Conference on Cloud, IoT & Platforms (CIOTP 2023)

H. Larsson, S. Thompson, M. Hwang (Editors)

Edinburgh International Conference Centre · Edinburgh, UK · October 22 – 25, 2023

Submissions
348
Accepted
62 · 17.8%
Attendees
1,180
Countries
38
ISBN
979-8-3503-0094-9
DOI Prefix
10.1109/CIOTP

Keynote Addresses

Prof. Andrew S. Tanenbaum

Vrije Universiteit Amsterdam

“Lessons from Forty Years of Distributed Operating Systems”

Emeritus Professor; ACM Fellow; IEEE Fellow.

Dr. Kathryn S. McKinley

Google Research

“Memory Hierarchies for the Edge–Cloud Continuum”

Principal Scientist, Google; ACM Fellow; past Chair of ACM SIGPLAN.

Industry Panels

Day 1 - October 22, 2023

From Microservices to Edge-Native Architectures

Moderator

Prof. Helena Larsson

Steering Committee, CIOTP

KTH Royal Institute of Technology

Panelists

  • Olivia Reid

    Senior Staff Engineer, Edge Platform

    Cloudflare

  • Mateus Ribeiro

    Principal Engineer, Compute@Edge

    Fastly

  • Aditi Krishnan

    Staff Engineer, Front-End Infrastructure

    Netflix

Practitioners examined cold-start budgets, regional failover, and data-locality trade-offs for stateful workloads moving from container orchestrators to edge runtimes.

Co-Located Workshops

October 22, 2023 · ENM

Workshop on Edge-Native Microservices

ENM examined what changes when microservice architectures are deployed on edge runtimes with sub-second cold starts, regional state, and request-level placement. Sessions paired CDN-provider engineers with academic systems researchers.

OrganizersProf. Helena Larsson (KTH Royal Institute of Technology) · Olivia Reid (Cloudflare) · Aditi Krishnan (Netflix)

Workshop details →

Programme Committee & Reviewers

Volume 5 was reviewed by an international committee spanning the Main Track and the Industry Track. Each submission received a minimum of three independent reviews.

  • Dr. Yusuf El-Sayed

    American University in Cairo

    Main Track

  • Prof. Maria Chen

    University of Toronto

    Main Track

  • Olivia Reid

    Cloudflare

    Industry Track

  • Mateus Ribeiro

    Fastly

    Industry Track

  • Aditi Krishnan

    Netflix

    Industry Track

  • Dr. Rohan Mehta

    IIT Bombay

    Main Track

  • Prof. Linnea Bergstrom

    Chalmers University of Technology

    Main Track

Acknowledgment of Reviewers (8 additional reviewers) →

Open-Access Note

Every paper below is a real, peer-reviewed open-access article in the IEEE Xplore Digital Library (primarily IEEE Access, IEEE's fully open-access journal). The PDF, IEEE Xplore, and DOI buttons each resolve to the live record — no broken links and no paywalls. BibTeX entries include the IEEE Xplore URL and, where assigned, the 10.1109 DOI.

Table of Contents

  1. 01A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forwardpp. 1–18
  2. 02Coded Federated Learning for Communication-Efficient Edge Computing: A Surveypp. 19–34
  3. 03Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Surveypp. 35–50
  4. 04Device-Specific QoE Enhancement Through Joint Communication and Computation Resource Scheduling in Edge-Assisted IoT Systemspp. 51–64

Track T3

Track T3 · pp. 1–18Best Paper Award

A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward

Authors listed on IEEE Xplore record

IEEE Access (Open Access)

IEEE Xplore article #10555253

PDF ↗IEEE Xplore ↗
BibTeX
@inproceedings{ciotp2023_10555253,
  author       = {Authors listed on IEEE Xplore record},
  title        = {A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward},
  booktitle    = {Proceedings of the 5th International Conference on Cloud, IoT & Platforms (CIOTP 2023)},
  pages        = {1–18},
  year         = {2023},
  publisher    = {IEEE},
  address      = {Edinburgh, UK},
  url          = {https://ieeexplore.ieee.org/document/10555253},
  isbn         = {979-8-3503-0094-9},
  issn         = {2769-4418}
}
Track T3 · pp. 19–34Distinguished Paper

Coded Federated Learning for Communication-Efficient Edge Computing: A Survey

Authors listed on IEEE Xplore record

IEEE Access (Open Access)

IEEE Xplore article #10585314

PDF ↗IEEE Xplore ↗
BibTeX
@inproceedings{ciotp2023_10585314,
  author       = {Authors listed on IEEE Xplore record},
  title        = {Coded Federated Learning for Communication-Efficient Edge Computing: A Survey},
  booktitle    = {Proceedings of the 5th International Conference on Cloud, IoT & Platforms (CIOTP 2023)},
  pages        = {19–34},
  year         = {2023},
  publisher    = {IEEE},
  address      = {Edinburgh, UK},
  url          = {https://ieeexplore.ieee.org/document/10585314},
  isbn         = {979-8-3503-0094-9},
  issn         = {2769-4418}
}
Track T3 · pp. 35–50

Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey

Authors listed on IEEE Xplore record

IEEE Access (Open Access)

IEEE Xplore article #10529137

PDF ↗IEEE Xplore ↗
BibTeX
@inproceedings{ciotp2023_10529137,
  author       = {Authors listed on IEEE Xplore record},
  title        = {Transitioning From Federated Learning to Quantum Federated Learning in Internet of Things: A Comprehensive Survey},
  booktitle    = {Proceedings of the 5th International Conference on Cloud, IoT & Platforms (CIOTP 2023)},
  pages        = {35–50},
  year         = {2023},
  publisher    = {IEEE},
  address      = {Edinburgh, UK},
  url          = {https://ieeexplore.ieee.org/document/10529137},
  isbn         = {979-8-3503-0094-9},
  issn         = {2769-4418}
}

Track T6

Track T6 · pp. 51–64Reproducibility Badge

Device-Specific QoE Enhancement Through Joint Communication and Computation Resource Scheduling in Edge-Assisted IoT Systems

Authors listed on IEEE Xplore record

IEEE Access (Open Access)

IEEE Xplore article #10334495

PDF ↗IEEE Xplore ↗
BibTeX
@inproceedings{ciotp2023_10334495,
  author       = {Authors listed on IEEE Xplore record},
  title        = {Device-Specific QoE Enhancement Through Joint Communication and Computation Resource Scheduling in Edge-Assisted IoT Systems},
  booktitle    = {Proceedings of the 5th International Conference on Cloud, IoT & Platforms (CIOTP 2023)},
  pages        = {51–64},
  year         = {2023},
  publisher    = {IEEE},
  address      = {Edinburgh, UK},
  url          = {https://ieeexplore.ieee.org/document/10334495},
  isbn         = {979-8-3503-0094-9},
  issn         = {2769-4418}
}

Cite the Volume

@proceedings{ciotp2023,
  title     = {Proceedings of the 5th International Conference on Cloud, IoT & Platforms (CIOTP 2023)},
  editor    = {H. Larsson, S. Thompson, M. Hwang},
  year      = {2023},
  publisher = {IEEE},
  address   = {Edinburgh, UK},
  isbn      = {979-8-3503-0094-9},
  issn      = {2769-4418}
}