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#federatedlearning — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #federatedlearning, aggregated by home.social.

  1. Using large (or largish) models locally (so called #localAI ) falls under the second, inference task. It is an emerging passtime for technical people with deeper pockets (one still needs a fairly massive server). It may become more of a commodity thing in due course .

    Democratized building of large models without access to ultra-expensive and complicated supercomputing is theoretically possible. Ceteris-paribus It will be slower and it needs some breakthroughs in large scale #federatedlearning

  2. Using large (or largish) models locally (so called #localAI ) falls under the second, inference task. It is an emerging passtime for technical people with deeper pockets (one still needs a fairly massive server). It may become more of a commodity thing in due course .

    Democratized building of large models without access to ultra-expensive and complicated supercomputing is theoretically possible. Ceteris-paribus It will be slower and it needs some breakthroughs in large scale #federatedlearning

  3. Using large (or largish) models locally (so called #localAI ) falls under the second, inference task. It is an emerging passtime for technical people with deeper pockets (one still needs a fairly massive server). It may become more of a commodity thing in due course .

    Democratized building of large models without access to ultra-expensive and complicated supercomputing is theoretically possible. Ceteris-paribus It will be slower and it needs some breakthroughs in large scale #federatedlearning

  4. Using large (or largish) models locally (so called #localAI ) falls under the second, inference task. It is an emerging passtime for technical people with deeper pockets (one still needs a fairly massive server). It may become more of a commodity thing in due course .

    Democratized building of large models without access to ultra-expensive and complicated supercomputing is theoretically possible. Ceteris-paribus It will be slower and it needs some breakthroughs in large scale #federatedlearning

  5. Using large (or largish) models locally (so called #localAI ) falls under the second, inference task. It is an emerging passtime for technical people with deeper pockets (one still needs a fairly massive server). It may become more of a commodity thing in due course .

    Democratized building of large models without access to ultra-expensive and complicated supercomputing is theoretically possible. Ceteris-paribus It will be slower and it needs some breakthroughs in large scale #federatedlearning

  6. The preachers of the Silicon Valley Church sell the harvesting of the body as “algorithmic inevitability,” promising immortality. A neat fable. Maybe they’ll keep the data lords alive for 150 years—but half of it will be Alzheimer’s. In the end, the thermodynamic hammer still falls.
    #Transhumanizm #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps #Longevity

  7. The preachers of the Silicon Valley Church sell the harvesting of the body as “algorithmic inevitability,” promising immortality. A neat fable. Maybe they’ll keep the data lords alive for 150 years—but half of it will be Alzheimer’s. In the end, the thermodynamic hammer still falls.
    #Transhumanizm #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps #Longevity

  8. The preachers of the Silicon Valley Church sell the harvesting of the body as “algorithmic inevitability,” promising immortality. A neat fable. Maybe they’ll keep the data lords alive for 150 years—but half of it will be Alzheimer’s. In the end, the thermodynamic hammer still falls.
    #Transhumanizm #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps #Longevity

  9. The preachers of the Silicon Valley Church sell the harvesting of the body as “algorithmic inevitability,” promising immortality. A neat fable. Maybe they’ll keep the data lords alive for 150 years—but half of it will be Alzheimer’s. In the end, the thermodynamic hammer still falls.
    #Transhumanizm #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps #Longevity

  10. The preachers of the Silicon Valley Church sell the harvesting of the body as “algorithmic inevitability,” promising immortality. A neat fable. Maybe they’ll keep the data lords alive for 150 years—but half of it will be Alzheimer’s. In the end, the thermodynamic hammer still falls.
    #Transhumanizm #DataEngineering #CRISPR #EdgeAI #GenerativeAI #FederatedLearning #MachineLearning #DataScience #AITools #AIAutomation #CloudComputing #SyntheticData #SyntheticData #AntiHarari #MLOps #Longevity

  11. New on flextalks.org: I've been researching a book — "It Takes People to Win!: AI in the Age of Smart, Local & Federated."
    The short version: centralized AI's 2025 water footprint equals the entire global bottled water supply. There's a better architecture — and it puts communities in control of their own data.
    Full research brief with timeline, energy comparisons & priorities:
    flextalks.org/ai-almost-daily
    #AI #Sustainability #FederatedLearning #DigitalRights

  12. New on flextalks.org: I've been researching a book — "It Takes People to Win!: AI in the Age of Smart, Local & Federated."
    The short version: centralized AI's 2025 water footprint equals the entire global bottled water supply. There's a better architecture — and it puts communities in control of their own data.
    Full research brief with timeline, energy comparisons & priorities:
    flextalks.org/ai-almost-daily
    #AI #Sustainability #FederatedLearning #DigitalRights

  13. New on flextalks.org: I've been researching a book — "It Takes People to Win!: AI in the Age of Smart, Local & Federated."
    The short version: centralized AI's 2025 water footprint equals the entire global bottled water supply. There's a better architecture — and it puts communities in control of their own data.
    Full research brief with timeline, energy comparisons & priorities:
    flextalks.org/ai-almost-daily
    #AI #Sustainability #FederatedLearning #DigitalRights

  14. New on flextalks.org: I've been researching a book — "It Takes People to Win!: AI in the Age of Smart, Local & Federated."
    The short version: centralized AI's 2025 water footprint equals the entire global bottled water supply. There's a better architecture — and it puts communities in control of their own data.
    Full research brief with timeline, energy comparisons & priorities:
    flextalks.org/ai-almost-daily
    #AI #Sustainability #FederatedLearning #DigitalRights

  15. New on flextalks.org: I've been researching a book — "It Takes People to Win!: AI in the Age of Smart, Local & Federated."
    The short version: centralized AI's 2025 water footprint equals the entire global bottled water supply. There's a better architecture — and it puts communities in control of their own data.
    Full research brief with timeline, energy comparisons & priorities:
    flextalks.org/ai-almost-daily
    #AI #Sustainability #FederatedLearning #DigitalRights

  16. As AI evolves, the convergence of NeuroAI and decentralized learning is reshaping our approach to intelligent systems. Heterogeneous decentralized federated learning is not just about data privacy; it leverages second-order information to enhance model efficiency and adaptability. This could redefine how we train AI, making it more robust and context-aware. Are we ready for a future where machines learn not just from data, but from the nuances of human-like reasoning? #AI #FederatedLearning

  17. #fediHistory #fediDocu

    > HIS story of #satireSpotlights

    What do you mean @erio7,
    the #realSatirePur moments in @jesuisatire's #fediLife?

    Like, HIS responsibility for the first urgent over night role out of a blocking feature (seriously!) in the #fediVerse, because HE tried to have fun with a troll who didn't had enough #selbstIronie in his ego, nor respect for the decentralized system or the community, showing of in the worst irresponsible manner possible?
    😟

    Or the #meanwhile incident, when "diaspora.com.ar … on it’s quest for the #holyTroll meet jesuiSatire .. ᘛ⁐̤ᕐᐷ" and called for the first time in #theFederatedHistory for a instance wide blocking of a distant user profile, wondering how to implement that in the code, telling HIM to quote: "¡stop being ironic!", with the admin writing an extense howTo defend yourself from a troll opEd, while HE already was trying to snip away users by writing takes like:
    #federatedlearning, #hola #Argentina @Elcammarota
    "About how to interpret a profile in the internet and why it can be useful to give #whiteHatTroll's ( as described by @linuzifer ) a chance."
    ¿ 😞 ?

    HIS april fools censorship! prank conversation that hit the cord?
    🤦‍♂️

    Or the moment HE upset @lizzischmidt with HIS #opEd in Englisch promoting her German #sundayGimp movement by stating "they even are arrogant enough to invent new hashtags" and she took it serious?
    That post nearly ended a friendship and the whole community had to come to the rescue to translate and state the obvious.
    Like to say:
    "Even @deusfigendi kann das bezeugen".
    😮

    We wonder if you are aware that you are talking about THE ONE who wrote the first draft of the #TSGDC more than 13 years ago, a take that actually could need some refurbishment, spellcheck and renaming to #TSGFC (The Sporial Guide to the Fediverse Cyberspace).
    🤔

    Well, actually we think HE is best when HE shows of with HIS 144 character bilingual or trilingual tweete takes like:
    "German for #newBees leasons, because they have a word for everything."
    (Ok, that one was really what he is all about, kinda selbstentlarvend. In other words, for a member of the #MUH a little bit to dangerous perhaps)
    😇

    Anyway, please don't make us remember old wounds, scares and stripes, we came a long way already ..
    .. and be assured, @requeteChe was right when he stated from the get go:

    ʕ•ﻌ•ʔ jeSuisatire, sounds like a typical bastard!


    @_elena @satire

  18. This article does a great job highlighting why DOGE is taking over the federal government so easily: federal systems centralize massive amounts of sensitive data, making them highly vulnerable to insider threats. The article concludes by pointing out that techniques like #FederatedLearning and #DifferentialPrivacy could help build more resilient systems 👏 #Privacy #CyberSecurity

    nytimes.com/2025/02/21/opinion

  19. Time for a proper #introduction! 👋 I'm a #MachineLearning researcher at Inria, France, focusing on #TrustworthyAI—especially #decentralization & #privacy. I design algorithms that learn from #decentralized data (#FederatedLearning) without memorizing personal data (#DifferentialPrivacy), working toward putting #data & #AI back in people's hands. Maybe one day, these ideas could be used in the #Fediverse!

  20. The Roman Colosseum hosted actual naval battles! Beyond the gladiatorial contests, discover the astonishing engineering that allowed for these aquatic spectacles, and how every seat in this architectural wonder reflected Rome's rigid social hierarchy. It's more than just ruins – it's a testament to ancient genius.

    Read the full story:
    utubepublisher.in/2025/06/roma

    #RomanEmpire #ColosseumHistory #AncientEngineering #SocialStructures #HistoryBuff #Archaeology #FederatedLearning

  21. 🧬 Can quantum intelligence unlock new ways to understand genetic mutations?

    🔗 Quantum neural networks meet federated learning for DNA mutation prediction. Computational and Structural Biotechnology Journal, DOI: doi.org/10.1016/j.csbj.2025.09

    📚 CSBJ Quantum Biology & Biophotonics: csbj.org/qbio

    #Genomics #QuantumBiology #DNA #QuantumComputing #BiomedicalAI #FederatedLearning #PrecisionMedicine #ArtificialIntelligence #QNN

  22. Unlock the future of secure software development with Federated Learning. Discover how decentralized data science and privacy-preserving machine learning are transforming AI in software development, across healthcare, finance, and beyond.

    Read the full blog to see how your business can innovate securely: inapp.com/blog/federated-learn

    #InApp #FederatedLearning #DataScience #AI

  23. Dự án ZAGORA giới thiệu giải pháp "Virtual VRAM" cho phép tinh chỉnh các mô hình 70B+ trên GPU phổ thông mà không lo thiếu bộ nhớ (OOM). Nền tảng này gom các GPU phân tán thành một cụm duy nhất. Điểm mạnh là bảo mật dữ liệu tuyệt đối (dùng Học Liên bang) và chi phí thấp, chỉ bằng 1/10 AWS/GCP. Đang mở thử nghiệm Beta kín.
    #LLM #AI #VRAM #FederatedLearning #ZAGORA #HocMay #TinhChinhMoHinh #GPU #BaoMat

    reddit.com/r/LocalLLaMA/commen

  24. Zoom đạt điểm CAO NHẤT MỚI (48,1%) trên "Thử Nghiệm Cuối Cùng" của nhân loại, vượt 2,3% so với kết quả trước nhờ hệ thống AI liên kết GPT, Gemini, Claude qua "Z-scorer". #AI #Zoom #ThửNghiệmCuốiCùng #SOTA #KỷLụcAI #FederatedLearning

    reddit.com/r/singularity/comme

  25. NVIDIA unveils Broadened Reinforcement Learning, using massive rollout scaling to boost LLM reasoning with less compute and stable rewards.

    aistory.news/machine-learning/

  26. NVIDIA expands its training catalog with a new Graph Neural Networks course, plus fresh modules on adversarial ML, Earth-2, and Jetson.

    aistory.news/machine-learning/

  27. Limitless Pendant discontinued after Meta deal. Support continues for a year, features unlocked, and data export options offered to users.

    aistory.news/machine-learning/

  28. NVIDIA's Isaac Lab Arena launches to benchmark robot policies at scale, with whole-body control, richer teleoperation data, ADR, and PBT.

    aistory.news/machine-learning/

  29. Android 16 AI features add notification summaries, spam checks and Expressive Captions, rolling out to Pixel devices with privacy controls.

    aistory.news/machine-learning/