Don't miss the second guest talk of the #AI Service Center Berlin-Brandenburg (#KISZ)๐ค
Ramin Khalili will present a new method in the field of #FederatedLearning (FL) that allows successive freezing and training of the parameters of a FL model, thus reducing the resource requirements of the training on the devices while still allowing sufficient co-adaptation between parameters.
๐
July 27, 1-3 pm
๐HPI, Building L, Room L-1.06 (Campus II)
๐More info & registration: https://hpi.de/en/the-hpi/registration/2023/ramin-khalilihpi-kisz-02-guest/
5 emerging trends in deep learning and artificial intelligence - Explore five emerging trends in deep learning and artificial inte... - https://cointelegraph.com/news/5-emerging-trends-in-deep-learning-and-artificial-intelligence #reinforcementlearning #federatedlearning #transferlearning #explainableai #deeplearning #transparency #dataprivacy
#dataprivacy #transparency #deeplearning #explainableai #transferlearning #federatedlearning #reinforcementlearning
Last was a fascinating talk by Gauri Joshi on heterogeneity in #FederatedLearning at the C3.ai Digital Transformation Institute. Federated learning is desirable from a number of perspectives, and this talk details fascinating results about how practitioners can design #algorithms in this space with performance that starts to approach centralized methods. Highly recommend https://www.youtube.com/watch?v=FV1ngzoZLvM (7/7)
#federatedlearning #algorithms
date: 2023-02-24 01:53:18
by: Hadi Amini
Multiple Fully-funded Ph.D. positions are available at @solid__lab on federated learning/quantum machine learning and their application in the cybersecurity of Cyber-Physcial-Societal systems.
More information: https://www.linkedin.com/feed/update/urn:li:activity:7034576172734676993/
#PhDposition #federatedlearning #research
๐ฆ๐: https://twitter.com/twitter/statuses/1628936073396072450
#PhdPosition
#phdPosition #federatedlearning #research
Next was a technical talk by Chandra Thapa on enabling #DeepLearning with #FederatedLearning and split learning at #Monash Information Technology. I still wonder about #privacy protection mechanisms like the one presented here accelerating discrimination by making everyone look more like the majority class, but the architecture itself is quite interesting https://www.youtube.com/watch?v=RYuWpG41YmU (5/12) #AI
#deeplearning #federatedlearning #Monash #privacy #ai
Technological Advances that are Driving Edge Computing Adoption - The evolution of a technology as a pervasive force is often a time-consuming proce... - https://readwrite.com/technological-advances-that-are-driving-edge-computing-adoption/ #artificialintelligence #federatedlearning #connecteddevices #cloudcomputing #edgecomputing #webassembly #tinyml #cloud #iot #ai
#ai #iot #cloud #tinyml #webassembly #edgecomputing #cloudcomputing #connecteddevices #federatedlearning #artificialintelligence
Our recent work accepted to #ICLR2023 in the ๐ป๐ผ๐๐ฎ๐ฏ๐น๐ฒ-๐๐ผ๐ฝ-๐ฎ๐ฑ% category! Motivated by overparameterized neural networks and a classical algorithm, we present a new way of adaptively determining the server step size in #FederatedLearning.
Federated learning is not private by default.
It looks like ML-enabled tools that do not guarantee privacy have made it to productions, which will likely impact actual people and might have HIPAA implications in the US.
#federatedlearning #ml #privacy
Less than a week left for this post-doc opportunity! A fully funded post-doc in federated machine learning.
#hiring #postdoc #postdocposition #federatedlearning #machinelearning
#hiring #postdoc #postdocposition #federatedlearning #machinelearning
Mastodon needs more transparency and explanation. Take a start with this. #federatedlearning http://www.netapp.com/blog/federated-learning/
If you are a #ml scientist interested in #FederatedLearning, please consider the 1st Workshop on Federated Learning Technologies at The Web Conference 2023 (Austin, Texas).
Here the call for papers and more information https://flw.di.unito.it/.
How well does #FederatedLearning work when clients participate intermittently? Our #NeurIPS2022 paper provides an answer to this question by amplifying updates. Come for a chat at our poster at 4 pm on Wednesday!
Paper: https://arxiv.org/abs/2205.13648
NeurIPS page: https://neurips.cc/virtual/2022/poster/53667
#federatedlearning #NeurIPS2022
EDPS Techsonar report 2022 on federated learning, metaverse, fake news detection systems, synthetic data and central bank digital currency. The aim is to โmonitor relevant developments, insofar as they have an impact on the protection of personal dataโ. The report is short and sweet with suggestions for further reading.
https://edps.europa.eu/system/files/2022-11/22-11-10_techsonar_report_22_23_en.pdf
#dataprotection #metaverse #syntheticdata #digitalcurrency #federatedlearning #fakenews
#Dataprotection #Metaverse #syntheticdata #DigitalCurrency #federatedlearning #fakenews
Next was an exciting talk by Nicholas Lane on the power of #distributed #MachineLearning at The Data Science Institute at #Columbia University. #FederatedLearning has always been interesting, but this talk pushes it to a new level and centers this approach as the future of machine learning. I got so many ideas from watching this, highly recommend https://www.youtube.com/watch?v=pDzhy8PTHyk (4/10)
#distributed #MachineLearning #Columbia #federatedlearning
Time for an #introduction
I'm a PhD student focusing on #tokenization in #CJK translation and do language stuff at Google Tokyo. I also help as an editor for @thegradient.
I'm interested in #federatedlearning, #Julia, #Korean, and high school CS #education. Definitely reach out!
www.theoreticallygoodwithcomputers.com
#Introduction #tokenization #CJK #federatedlearning #Julia #Korean #education
The list of 122 full papers and 118 short papers at our #ieee #BigData Conference in Osaka, Japan is available from https://bigdataieee.org/BigData2022/AcceptedPapers.html Hope to see you in Japan on Dec. 17-20, 2022. #MachineLearning #deeplearning #federatedlearning #ml #orms @ComputerSociety
#orms #ml #federatedlearning #deeplearning #machinelearning #bigdata #ieee
RT @GoogleAI@twitter.com
Introducing Federated Reconstruction, an approach that enables scalable partially local #FederatedLearning and thus avoids revealing privacy-sensitive data. Read all about our approach, including how it was successfully deployed to Gboard โ https://goo.gle/3F2Cf2t
๐ฆ๐: https://twitter.com/GoogleAI/status/1471587779561807877
https://purl.org/rzr/privacy# #FederatedLearning can be relevant for #SmartHome activities
https://purl.org/rzr/privacy# #AI : #FederatedLearning is more #Decentralized to address #Privacy issues , can be shared or not between users or community
#ai #decentralized #federatedlearning #privacy