MLSysOps Project

@mlsysops

Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum (MLSysOps) is a Project funded by the EuropeanUnion #HaDEA #HorizonEU

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  1. MLSysOps Project@mlsysops
    🚀 @MLSysOps InAction #Hackathon One month ago, we experienced two incredible days that continue to define innovation. Today, we look back and relish the beauty and true value of those #moments where over 60 students and mentors from across Europe tackled real-world challenges
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  2. MLSysOps Project@mlsysops
    Introducing the MLSysOps #Opensource #Framework! Join us for the #live launch of the framework built to streamline #policy-driven and #ML-assisted distributed system operations. 📅 July 18, 2025 ⏰ 13pm CEST 📍 Register now:
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  3. MLSysOps Project@mlsysops
    Two productive days in #Athens for the 5th @mlsysops plenary meeting! 🏛️ On March 20–21 the consortium came together to coordinate technical progress and dive into hands-on discussions around system integration, machine learning, and open-source development @EU_CloudEdgeIoT #HE
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  4. MLSysOps Project@mlsysops
    A very interesting white paper "𝘊𝘰𝘨𝘯𝘪𝘵𝘪𝘷𝘦 𝘔𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘢𝘯𝘥 𝘖𝘳𝘤𝘩𝘦𝘴𝘵𝘳𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘙𝘦𝘴𝘰𝘶𝘳𝘤𝘦𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘌𝘥𝘨𝘦 𝘊𝘭𝘰𝘶𝘥 𝘊𝘰𝘯𝘵𝘪𝘯𝘶𝘶𝘮" published as a joint inter-project effort! Thanks @CODECOProject
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  5. MLSysOps Project@mlsysops
    Thanks @ubiwhere for having hosted the 4th Plenary Meeting of our #MLSysOps Project 💻 📆On Oct 24 and 25, Ubiwhere's headquarters welcomed the members of the MLSysOps Project consortium. 2 days of sharing information about the project, its technological advances and next steps💡
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  6. MLSysOps Project@mlsysops
    Great talk by Prof. Lalis on "Elevating Drones as first-class citizens in the Cloud-edge-IoT continuum" at the 2nd #AIoTwin summer school ( Sept 16-17 2024 in #Dubrovnik! The talk also included a short intro of #MLSysOps and its #smartagriculture use case
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  7. MLSysOps Project@mlsysops
    An interesting work, funded by MLSysOps Project, recently published! G. Polychronis, M. Koutsoubelias, S. Lalis. “Should I Stay or Should I Go: A Learning Approach for Drone-based Sensing Applications”, Wi-DroIT workshop co-located with DCOSS-IoT 2024
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  8. MLSysOps Project@mlsysops
    Invited talk on "Machine Learning for System Operation and Application Orchestration in the DEC Continuum" by Raffaele Gravina (@UniCalPortale). @mlsysops at the Shenzhen Institute of Advanced Technology! Thanks to Prof. Ye Li, Dr. Sun and Dr. Zang for the interactive discussion
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  9. MLSysOps Project@mlsysops
    MLSysOps Project
    RT @systemsgreek: Pretty happy that our position (white) paper "Orbital Shield: Rethinking Satellite Security in the Commercial Off-the-Shelf Era" was accepted at Security for Space Systems (3S). This is joined work between @tudelft, Indian Institute of Science and @TUDarmstadt.
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  10. MLSysOps Project@mlsysops
    The 3rd @MLSysOps plenary meeting have just finished! Thanks to @ucddublin for hosting us and to all the partners for joining with active participation, sharing current achievements, ongoing work and engaging discussions for next steps in the project development. @EU_CloudEdgeIoT
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  11. MLSysOps Project@mlsysops
    Posts @mlsysops
    @mlsysops contributes to the Part 2 of the "Future-Proof Solutions for Cognition-Enabled Cloud Computing" by EUCloudEdgeIoT #RIA showcase webinar. The other #EU projects participating @aces_horizon @DECICE_EU @empyrean_he @HYPERAI_Project @MYRTUS_EU @SovereignEdgeEU
    EUCloudEdgeIoT @EU_CloudEdgeIoT
    You asked, we delivered! 😁 Join Part 2 of "Future-proof solutions for cognition-enabled cloud computing" from the EUCEI RIAs Showcase Webinar! 🗓️ June 6 @ 10:30am-1:00pm CET Featuring: @HYPERAI_Project @DECICE_EU @SovereignEdgeEU @MYRTUS_EU @empyrean_he @aces_horizon Don't miss out! Register now: #EUCEI #RIAShowcase #CognitiveCloud #InnovationInProgress
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  12. MLSysOps Project@mlsysops
    Joana Tirana (@ucddublin) and Dimitris Chatzopoulos (#UCD), in collaboration with Dimitra Tsigkari and George Iosifidis (@tudelft) published a paper in #IEEE #Infocom 2024 titled "Workflow Optimization for Parallel Split Learning". Enjoy open access here:
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