We are excited to announce that the MLSysOps Framework—the open-source outcome of the MLSysOps Project—is now available. For more information and access to the framework, please visit our Software Framework page.
NTT Data is proud to announce that the work of the Italian teams of Telco Innovation & EDGE Network Engineering and System engineering was awarded Best Moonshot Catalyst for TelcoMonetization at the DTW25-Ignite forum in Copenhagen!
“Monetizing Federated Connectivity for Automotive OEMs” is a project focused on Telco monetization and distributed connectivity with Edge/MEC. It was developed in collaboration with leading partners from the telecommunications and automotive sectors and presented at the TM Forum’s flagship event. Participation in the MLSysOps Project contributed to shaping the proposed solution.
INRIA highlighted its latest research at two key conferences this June:
Aya Moheddine and Valeria Loscri presented their work on “Identifying and Exploiting a Denial-of-Service Vulnerability in the NGAP Protocol in 5G Networks at the EuCNC & 6G Summit which took place on 3-6 June at Poznan, Poland.
Jiali Xu and Valeria Loscrì highlighted their research on “Leveraging UE-Level Collaborative Intelligence for Scalable Jamming Detection in 5G Networks” at DISCOLI 2025 which took place on 9-11 Jun 2025, in Lucca, Italy, in conjunction with IEEE DCOSS-IoT 2025.
Looking ahead, INRIA is excited to announce its participation in the 20th International Conference on Availability, Reliability and Security (ARES) on Aug 2025 in Ghent, BE, where the team will present their latest work on “SHIELD: Scalable and Holistic Evaluation Framework for ML-Based 5G Jamming Detection.”
Christos Antonopoulos of UTH presented the MLSysOps Project at Data Week 2025 during the session “MLOps, Continuous Learning, and Resource Management in the Edge-Cloud Continuum“. His talk highlighted the project’s approach on ML-driven management of complex systems spanning the edge-cloud continuum.
NUBIS is participating in CCGRID 2025, presenting its contributions to the MLSysOps initiative (vAccel) at the RISE workshop. The team is showcasing their latest paper, titled: “MLIoT: Transparent and Secure ML Offloading in the Cloud-Edge-IoT Continuum”
Excited to share that our paper, “TMModel: Modeling Texture Memory and Mobile GPU Performance to Accelerate DNN Computations,” will be presented by Jiexiong Guan (UTH, University of William & Mary) at the International Conference of Supercomputing, which will take place in Salt Lake City, U.S.A, on June 8-11, 2025. This work is a collaboration between UTH, the University of William & Mary, and the University of Georgia.
Mainstream mobile GPUs (such as Qualcomm’s Adreno) usually have a 2.5D L1 texture cache that offers throughput superior to that of on-chip memory. However, to date, there is limited understanding of the performance features of such a 2.5D cache, which limits their optimization potential. TMModel introduces a novel performance modeling framework for mobile GPUs that combines micro-benchmarking, an analytical performance model, and a lightweight compiler to optimize DNN execution based on access patterns and GPU parameters. TMModel delivers up to 66× speedup for end-to-end on-device DNN training with significantly lower tuning cost than existing frameworks. As mobile devices grow more powerful, this work is a step towards efficient, real-time deep learning training directly on such devices.
Two highly productive days in Athens for the 5th MLSysOps plenary! On March 20–21, the consortium came together to sync up on technical progress and engage in hands-on discussions around system integration, machine learning, and open-source development.
Top highlights from the plenary:
On January 22, the Machine Learning for Edge Computing Systems (ML4ECS) Workshop took place as part of HiPEAC. The workshop provided a platform for leading researchers, industry experts, and practitioners to discuss the latest advancements and challenges at the intersection of machine learning and edge computing systems.
Throughout the day, we had the privilege of hearing interesting presentations, engaging in interactive discussions, and exchanging ideas. We would like to thank all speakers, participants, and co-organizers from the CODECO and EDGELESS projects who contributed to the workshop’s success. We look forward to building on the momentum and fostering collaboration in this rapidly evolving field.
The Final Program for the ML4ECS Workshop is online!
Join us as we dive into the cutting-edge intersection of Machine Learning and Cloud-Edge computing.
What to Expect:
✅ Keynote from leading expert in ML and Cloud-Edge systems
✅ Interesting research presentations and Demos
✅ Engaging discussions on the future of ML-driven innovation.
📅 When: January 22, 2025
📍 Where: Palau de Congressos @ Fira de Barcelona as part of the HiPEAC conference
Don’t miss the opportunity to connect with researchers, innovators, and industry leaders shaping the future.
🔗 Check out the program and join us: https://ml4ecs.e-ce.uth.gr/
Nikos Bellas (UTH) presented MLSysOps at the 1st EDGELESS Info Day: Challenges and Opportunities in Cognitive Edge Computing.
A recording of the event is available on the EDGELESS youtube channel:
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