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LOCATION: Philadelphia


Important Days

January 12, 2024 (Paper Submission Deadline)
February 12, 2024 (Notifications)
February 14, 2024 (Registration Open)
March 04, 2024 (Camera-ready Due)
May 06-09, 2024 (Conference Date)


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ICFEC 2024

The 8th IEEE International Conference on Fog and Edge Computing (ICFEC 2024) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in the fields of fog and edge computing. ICFEC 2024 will take place in conjunction with The 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2024).

Fog and edge computing have received much attention by both the research community and the industry in recent years, and are today seen as an alternative to the utilization of cloud-based computational resources. Especially, this is the case in scenarios where large amounts of data are produced in distributed settings, e.g., in the Internet of Things (IoT), where data needs to be processed in (near) real time, or where suboptimal network connectivity hampers the upload of very large amounts of data to the cloud. Use cases for fog and edge computing range from smart factories over smart grids to autonomous vehicles, to name just some examples.

While tremendous progress has already been made in the research fields of fog and edge computing, there are still numerous challenges which need to be solved. New abstractions and extensions to current programming and storage models are necessary to allow developers to design novel applications that can benefit from massively distributed fog and edge systems. Addressing security, privacy, and trust is of paramount importance while managing the resources and context of mobile, transient and hardware-constrained resources. Fog and edge computing can also help to process very large amounts of data, both for batch processing and data streams. The integration of novel communication protocols and communication patterns with fog and edge computing also brings both new opportunities and unique challenges. Recently, the utilization of fog and edge resources in order to realize distributed machine learning in the form of federated learning has also gained much traction, since it allows to learn from local data without sharing raw data with any centralized entity.

Call for Papers

Download the PDF: Call for papers, Call for workshops

The conference seeks to attract high-quality contributions covering both theory and practice over systems research and emerging domain-specific applications related to next-generation distributed systems that use the edge and the fog. Some representative topics of interest include, but are not limited to:


  • Data centers and infrastructures for fog/edge computing
  • Mobility management in fog/edge computing
  • Federated learning and distributed machine learning in the fog and on the edge
  • 5G and fog/edge computing
  • Middleware and runtime systems for fog/edge infrastructures
  • Programming models for fog/edge computing
  • Storage and data management platforms for fog/edge computing
  • Scheduling and resource management for fog/edge infrastructures
  • Security, privacy, trust and provenance issues in fog/edge computing
  • Distributed consensus and blockchains at the edge and in the fog
  • Modelling and simulation of fog/edge environments
  • Performance monitoring and metering of fog/edge infrastructures
  • (Big) Data processing in the fog and at the edge
  • Energy-efficient fog/edge computing

Accepted Papers and Program

Tuesday, May 07, 2024

[10:15-10:30] Welcome Remarks: Khalid Elgazzar, Stefan Schulte, and Lena Mashayekhy

[10:30-12:00] Session I: Federated Learning and Edge Computing
Session Chair: Lena Mashayekhy
AMBIT: An Efficient Pruning Technique in Federated Learning for Edge Computing Systems
Authors: Mohammad Emad Hammami, Peiyuan Guan, Amir Taherkordi, Dapeng Lan and Amin Shakraki
Asynchronous Federated Split Learning
Authors: Brigitte Jaumard, Junior Momo Ziazet, Rafael Almeida Albuquerque, Leonardo Pereira Dias, Konstantinos Vandikas, Selim Ickin, Carlos Natalino, Lena Wosinska, Paolo Monti and Elaine Wong
Federated Learning Deployments of Industrial Applications on Cloud, Fog, and Edge Resources
Authors: Thomas Blumauer-Hiessl, Stefan Schulte, Safoura Rezapour Lakani, Alexander Keusch, Elias Pinter, Thomas Kaufmann and Daniel Schall

[2:00-3:00] Session V: Autonomous Vehicles
Session Chair: Khalid Elgazzar
A Real-World Testbed for V2X in Autonomous Vehicles: From Simulation to Actual Road Testing
Authors: Ammar Elmoughazy, Khalid Elgazzar and Sanaa Alwidian
Distributed Misbehavior Detection System for Cooperative Driving Networks
Authors: Wassila Lalouani and Abdullahi Modibbo Abdullahi

[3:30-5:00] Session VI: Posters
IoTSimSecure: Towards an IoT Simulator Supporting Cyber-Threat Detection Algorithms
Authors: Reham Almutairi, Giacomo Bergami and Graham Morgan
A Hybrid-Cloud Autoencoder Ensemble Method for BotNets Detection on Edge Devices
Authors: Steven Arroyo and Shen-Shyang Ho
Computation Offloading for Precision Agriculture using Cooperative Inference
Authors: Shen-Shyang Ho, Paolo Rommel Sanchez, Nicholas Bovee, Suraj Bitla, Gopi Krishna Patapanchala and Stephen Piccolo
SplitTracer: A Cooperative Inference Evaluation Toolkit for Computation Offloading on the Edge
Authors: Nicholas Bovee, Stephen Piccolo, Suraj Bitla, Gopi Krishna Patapanchala and Shen-Shyang Ho

Wednesday, May 08, 2024

[10:30-12:00] Session IV: Offloading and Scheduling in Edge Computing
Session Chair: Luiz F. Bittencourt
Migration of Isolated Application Across Heterogeneous Edge Systems
Authors: Marius Kreutzer, Maximilian Seidler, Konstantin Dudzik, Victor Pazmino Betancourt and Jürgen Becker
Synergizing Fuzzy-based Task Offloading with Machine Learning-driven Forecasting for IoT
Authors: Andras Markus, Valentin Daniel Hegedus, József Dániel Dombi and Attila Kertesz
Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud
Authors: Motahare Mounesan, Mauro Lemus Alarcon, Hemanth Yeddulapalli, Prasad Calyam and Saptarshi Debroy

[2:00-3:00] Session II: Video Analytics at the Edge
Session Chair: Stefan Schulte
VATE: Edge-Cloud System for Object Detection in Real-Time Video Streams
Authors: Maximilian Maresch and Stefan Nastic
Enabling Adaptive Video Streaming via Content Steering on the Edge-Cloud Continuum
Authors: Eduardo Gama, Roberto Rodrigues-Filho, Edmundo Madeira, Roger Immich and Luiz F. Bittencourt

[3:30-5:00] Session III: Data Management and Intelligent Processing at the Edge
Session Chair: Saptarshi Debroy
Thinking out of replication for geo-distributing applications: the sharding case
Authors: Geo Johns Antony, Marie Delavergne, Adrien Lebre and Matthieu Rakotojaona Rainimangavelo
WoW-IO: a Gaming-Based Storage Trace Generator for Edge Computing
Authors: Oleg Kolosov, Tom Herman, Ido Zohar and Gala Yadgarm
Knowledge Distillation Based on Monoclass Teachers in Edge Infrastructure Using Unlabeled Data
Authors: Cédric Maron, Virginie Fresse, Karynn Morand and Freddy Havart

All accepted papers will be published by IEEE Computer Society Press (EI-Index) and included in the IEEE Digital Library. For publication, each accepted paper is required to be registered by one of its authors, and at least one author is required to attend and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library.

Submission Instructions

ICFEC 2024

We invite original manuscripts that have neither been published elsewhere nor are under review at a different venue. Papers should follow the IEEE template for conference proceedings. Authors should submit papers, written in English, electronically in PDF format and may not exceed 8 letter-size pages in length, including all figures, tables, and references. All manuscripts will be reviewed and judged on originality, technical strength, significance, presentation, and relevance to the conference by at least three reviewers. Papers may be submitted online via Easychair. Papers that are accepted for publication may be accepted as REGULAR paper (8 pages) or SHORT papers (5 pages), depending on the reviewer recommendations. Accepted papers will be included in the conference proceedings that will be published through the IEEE Computer Society Conference Publishing Services.


ICFEC 2024 Committees

General Chairs:
Program Chairs:
Steering Committee:

Local Arrangement Chairs:
Finance Chairs:
Publication Chairs:
Publicity Chairs:
Program Committee:
Program Committee (continued):

ICFEC 2024 is a physical event with the aim of bringing together the technical community in-person, and giving them the opportunity to network, communicate, share new ideas and learn new insights, ranging from research topics to diversity challenges. We do not offer a virtual option for attendance. During registration, please choose the “visa letter” option if you need it for your visa application.

Registration Policy

• Author registration deadline is March 4, 2024. Non-author early registration deadline is April 1, 2024.

• At least one author of an accepted conference/workshop paper must register at the conference non-student/non-life member rate by March 4, 2024. An author with multiple accepted conference paper can have a discount of $250 for each additional paper

• Member registration rates are available for professional members of IEEE/ACM.

• Conference paper page limit is 10. Workshop paper page limit is 8. Up to 2 extra pages can be purchased with a fee ($150 per page)

• Registration can be canceled on or before April 15, 2023. There will be an administrative fee of $100 deducted from each refund.

• For registration questions, please email

Conference Venue and Hotel

ICFEC 2024

The conference will be held at the DoubleTree by Hilton Philadelphia Center City hotel, located at 237 South Broad Street, Philadelphia. This hotel is located in the city center. Many local attractions, public spaces, and cultural sights are within walking distance or a short ride. CCGRID has negotiated a discounted group rate for attendees wishing to stay at the conference hotel. This room-block has a limited number of rooms available to attendees on a first-come first-serve basis. You can book a room at the discounted rate via


We thank our generous sponsors.