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Big
#privacy news!!!@Google has open-sourced their#FederatedLearning code!!!! Here's a step-by-step#tutorial showing how to perform#FederatedLearning using the same infrastructure@Google uses on 10s of millions of smartphones!!!#100DaysOfMLCode https://medium.com/tensorflow/introducing-tensorflow-federated-a4147aa20041 …pic.twitter.com/hgR1FwrL34
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What is federated learning and how can it help us to create AI while protecting customer privacy? Here are a couple of articles for those of you who are interested...
#ai#federatedlearning#machinelearning#edgecomputing https://ai.googleblog.com/2017/04/federated-learning-collaborative.html …https://venturebeat.com/2019/06/03/how-federated-learning-could-shape-the-future-of-ai-in-a-privacy-obsessed-world/ … -
*Extremely* excited about this new
#FederatedLearning use case: SMS spam detection using GRUs! Read the amazing tutorial by André Farias that unveils the power of FL for concrete applications with@PyTorch and#PySyft! More is coming soon, stay tuned!https://towardsdatascience.com/private-ai-federated-learning-with-pysyft-and-pytorch-954a9e4a4d4e?sk=c80ba093dd54632d22d702aa71712774 … -
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@Google recently published how they do#FederatedLearning at scale on tens of millions of mobile phones#privacy is happening!!! https://arxiv.org/pdf/1902.01046.pdf …#100DaysOfMLCode#100DaysOfCode#ppmlpic.twitter.com/nLwwO3NZuF
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My phone should check each image I take for skin
#cancer The model should be: - Free - Apache 2 licensed - Crowdsourced using#FederatedLearning Similar to what#OpenSource did for software This is what@OpenMinedorg wants to do for AI Join us! http://slack.openmined.org -
A thought provoking description of how
#federatedlearning (FL) could make a huge impact in privacy-sensitive ecosystems like healthcare: https://go.technologyreview.com/the-privacy-preserving-ai-technique-that-will-transform-healthcare … . Learn more about FL here: https://medium.com/syncedreview/federated-learning-the-future-of-distributed-machine-learning-eec95242d897 … -
There were so many on-device ML talks at Google I/O this year! I summarized my learnings in sketchnotes.
#Tensorflow#TensorFlowLite#DanceLike#MLKit#Firebase#CameraX#EdgeTPU#FederatedLearning pic.twitter.com/Xyox9QHI3R
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Federated Learning: Challenges, Methods, and Future Directions by Tian Li
@litian0331 Learn more → https://mld.ai/8d3f#federatedlearning#machinelearning#ml#mldcmu#privacy -
Interested in
#paid open-source#AI +#privacy +#mobile work?@PyTorch is sponsoring 5 Fellowships (full/part time) to build out a#FederatedLearning platform! We're looking for: -#iOS Devs -#Android Devs -#Python Devs -#Javascript Devs Apply:https://blog.openmined.org/announcing-the-pytorch-openmined-federated-learning-fellowships/ … -
Now that we at
@_doc_ai have applied deep learning to horizontal#FederatedLearning (width) and vertical FL (height), next we are going to do something truly transformative with depth -
Owkin is proud to announce that we have open-sourced Substra our distributed machine learning framework through
@Substra_org https://github.com/SubstraFoundation ….#federatedlearning goes global!#trustworthyAI#opensource#AI -
Curious about how
#AI and model building work at http://doc.ai ?@pdow explains: https://bit.ly/2JgHNLV#FederatedLearning pic.twitter.com/j9RO2f2kJW
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A >1 billion people data leak!!! We should never gather so many user data in a single database.
#federatedlearning is an alternative to centralizing data. https://www.dataviper.io/blog/2019/pdl-data-exposure-billion-people/ … -
@XAIN_AG explains how federated learning solves the privacy utility dilemma at today’s#FederatedLearning#meetuppic.twitter.com/wJq74aZqBJ
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Watch this FREE
#AI talk on#FederatedLearning using@java with@deeplearning4j and@GluonHQ presented by@johanvos and hosted by@eyalwir : https://www.meetup.com/AI-for-Enterprise-Virtual-User-Group/events/255715446/ … …#java#MachineLearning#DeepLearning -
Private AI — Federated Learning with PySyft and PyTorch
#artificialintelligence#machinelearning#AI#privacy#cybersecurity#cryptography#privateAI#secureAI#federatedlearning#PySyft#PyTorch https://towardsdatascience.com/private-ai-federated-learning-with-pysyft-and-pytorch-954a9e4a4d4e … -
#T597T#FederatedLearning is a#MachineLearning technique that trains an algorithm across multiple decentralized edge devices holding local data samples, without exchanging them. What's that good for? think of#AI users who don't want to share their data. "Sensitive clients" pic.twitter.com/ZNdxvHrTEq
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Very excited about the last
@openminedorg Meetup in Paris! Together with@arkhn_hq,@OWKINscience and@bleckwen_ai, we discussed: Challenges of#federatedlearning in health care & finance: • Data privacy • Data Heterogeneity • Traceability A big thank to@alan_aboudib!pic.twitter.com/P2eg2y1jGO
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When talking about
#AI in#healthcare, data privacy is of the utmost importance. Doctors, researchers, and software engineers working together can help build the foundation for#federatedlearning.#GTC19 See NVIDIA’s most recent work in protecting patient data. -
#FederatedLearning is one of the *most* important#privateAI technologies If you know & love@PyTorch... Here’s how to take a@PyTorch model & make it#Federated in 10 line changes A step-by-step#tutorial using#PySyft by@theoryffel#100DaysOfMLCode https://blog.openmined.org/upgrade-to-federated-learning-in-10-lines/ …pic.twitter.com/Z6veAIo5ra
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