ICFEC 2026 is co-located with IEEE/ACM CCGrid 2026 in Parramatta, Sydney. The logistics below — venue, registration, and travel grants — are shared with CCGrid. The table further down lists the ICFEC technical program.
Peter Shergold Building (Level 9), Western Sydney University Parramatta City Campus — a 5-minute walk from Parramatta Station.
View on CCGrid 2026 →Author and attendee registration fees, deadlines, and what is included. Registration is handled by CCGrid 2026.
View on CCGrid 2026 →Student travel grants of up to AUD 1,500 are available through CCGrid 2026. Applications close 24 April 2026 (AoE).
View on CCGrid 2026 →19 – 21 May 2026 · Parramatta, Sydney
| Title | Authors |
|---|---|
| Lifetime-Aware Zone Allocation for ZNS SSDs | Jinyoung Kim, Doeun Kim, Junmo Seong, Hyuck Han, Sooyong Kang |
| Attention-based Decomposition Framework for Joint Task Offloading and Resource Allocation in Multi-Task Multi-Server MEC | Tran-Dang Hoa, Dong-Seong Kim |
| Practical Monitoring Tool for ZNS SSD Emulator | Junmo Seong, Doeun Kim, Hyuck Han, Sooyong Kang |
| Title | Authors |
|---|---|
| K-Sense: A Non-Invasive eBPF Framework for QoS Inference | Abdullah Muslim, Ali Beiti Aydenlou, Stephan Recker |
| Cost-Effective Processing of IoT Data in the Computing Continuum | Vasileios Karagiannis, Drazen Ignjatovic, Antonios Iosifidis, Stefan Schulte |
| LLMEdger: Phase-Aware Model Parallelism Scheduler for LLM Inference on Edge | Xinyang Shen, Lena Mashayekhy |
| Title | Authors |
|---|---|
| Layer-Wise Weight Sharing for Efficient Transformer on SoCs | Saeed Khalilian Gourtani, Hang Xu, Nirvana Meratnia, Anuj Pathania |
| CORAL: Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference | Ahmad Nabhaan, Zaki Sukma, Rakandhiya Rachmanto, Muhammad Santriaji, Byungjin Cho, Arief Setyanto, In Kee Kim |
| Order-Aware Compression for RF-DETR on Edge Devices: Overcoming Graph Fragmentation and Quantization Instability | Farhan Mahmood, Michalis Karamousadakis, Antonis Porichis, Vishwanathan Mohan, Panagiotis Chatzakos |
| Title | Authors |
|---|---|
| Multi-Provider Caching in Multi-Tier Fog Networks | Ferdous Sharifi, Young Choon Lee, Shaahin Hessabi |
| NL-CPS: Reinforcement Learning-Based Kubernetes Control Plane Placement in Multi-Region Clusters | Sajid Alam, Amjad Ullah, Ze Wang |
| UAV-Enabled Integrated Sensing, Semantic Communication, and Computation: Disaster-Oriented Edge Computing and Sensing | Yaxi Liu, Wencan Mao, Xulong Li, Yu Xiao, Wei Huangfu, Keping Long |
| Title | Authors |
|---|---|
| A Federated LLM-based Framework for DDoS Defense in Mobile Edge Computing | Shuo Zhang, Kousuke Mori, Toshio Hirotsu |
| Atlas Synchronization in the Hierarchical Federated Learning Continuum | Antonios Iosifidis, Vasileios Karagiannis, Stefan Schulte |
Session times follow the CCGrid 2026 master schedule and may be adjusted closer to the conference. See the full CCGrid program for keynotes, tutorials, workshops, and social events.
The 10th IEEE International Conference on Fog and Edge Computing (ICFEC 2026) is a premier forum that brings together researchers, practitioners, industry experts, and technologists to discuss and explore the latest developments, trends, and innovations in fog and edge computing. ICFEC 2026 will be held in conjunction with the 26th International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2026) in Sydney, Australia.
As alternatives to traditional cloud computing, new paradigms such as fog computing, edge computing, and the edge-fog-cloud continuum have been proposed and are increasingly being deployed. These approaches aim to bring computational resources closer to data sources, thereby reducing network latency and data traffic at the core of the network. Use cases for fog and edge computing range from smart factories over smart grids to autonomous vehicles, just to name a few examples. New methods and mechanisms are essential for effectively managing software, infrastructure, and network aspects impacted by the adoption of these emerging computing paradigms.
ICFEC 2026 takes a broad view of fog and edge computing and aims to publish high-quality research contributions and experience reports related to system designs, end-to-end architectures, enabling technologies, and domain-specific applications within these emerging computing paradigms. Some representative topics of interest include, but are not limited to:
All papers must be original and not simultaneously submitted to another journal or conference. Full/Regular Paper submissions 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. Apart from regular papers, authors may also submit short papers and extended abstracts for posters. 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 at EasyChair.
Papers that are accepted for publication may be accepted as REGULAR papers (8 pages), SHORT papers (4 pages), or extended abstracts for POSTER (2 pages), depending on the reviewers' recommendations. Accepted regular, short, and poster papers will be included in the conference proceedings that will be published through the IEEE Computer Society Conference Publishing Services. When submitting the final accepted manuscript, authors may purchase up to two additional pages.
Macquarie University, Australia
Fluminense Federal University, Brazil
Technical University (TU) Berlin, Germany
Inria, France
Aalto University, Finland
Macquarie University, Australia
UERJ, Brazil
University of Salerno, Italy
University of Kentucky, USA
Macquarie University, Australia
Macquarie University, Australia
Hanyang University, South Korea
Hanyang University, South Korea
Macquarie University, Australia
Pusan National University, South Korea
University of Vienna, Austria
University of Stuttgart, Germany
TU Berlin, Germany
University of Campinas, Brazil
ENS-Lyon / INRIA / LIP, France
Korea University, South Korea
Nokia Bell Labs, Belgium
Vienna University of Technology, Austria
Universität Hamburg, Germany
University of Salerno, Italy
University of Messina, Italy
Queen Mary University of London, United Kingdom
Wayne State University, United States
Huazhong University of Science and Technology, China
University of Otago, New Zealand
Western Sydney University, Australia
TU Berlin, Germany
Austrian Institute of Technology, Austria
University of Klagenfurt, Austria
Poznan University of Technology, Poland
UC Santa Barbara, United States
Pusan National University, South Korea
Deakin University, Australia
Inria / Ecole des Mines, France
Salzburg Research Ltd. / University of Salzburg, Austria
University of Klagenfurt, Austria
Univ Rennes, Inria, CNRS, IRISA, France
University of Innsbruck, Austria
Paderborn University, Germany
