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Alexander Jung
Austria
เข้าร่วมเมื่อ 18 ก.ย. 2009
Welcome to my personal TH-cam channel! I'm Alexander Jung, a tenured Associate Professor for Machine Learning at Aalto University in Finland. Delving into the mathematical underpinnings of machine learning is my passion, both in research and teaching capacities. Here, you'll find an array of videos covering diverse machine learning topics, spanning from fundamental theoretical principles to practical applications of various techniques.
Connect with me on LinkedIn ("aljung" with 30k followers) and GitHub ("alexjungaalto").
Connect with me on LinkedIn ("aljung" with 30k followers) and GitHub ("alexjungaalto").
CS-E4740 Federated Learning - Course Outline
course site: FederatedLearningAalto.github.io
มุมมอง: 1 559
วีดีโอ
CS-E4740 Federated Learning - FL Applications
มุมมอง 1612 ชั่วโมงที่ผ่านมา
A brief overview of some applications of federated learning.
CS-E4740 Federated Learning - Learning Goals
มุมมอง 3212 ชั่วโมงที่ผ่านมา
CS-E4740 Federated Learning - Learning Goals
CS-E4740 Federated Learning - Related Courses
มุมมอง 2212 ชั่วโมงที่ผ่านมา
This video discusses the position of the course CS-E4740 Federated Learning within the wider ML curriculum.
CS-E4740 Federated Learning - From ML to FL
มุมมอง 5912 ชั่วโมงที่ผ่านมา
A key theme of the course CS-E4740 is to couple the training of several (personalized) ML models by simple regularization techniques. For a given network of devices, each training its own ML model, we require models connected by a link to behave similar. #machinelearning #artificialintelligence #distributedcomputing #distributedcomputing #privacy
CS-E4740 Federated Learning - ML Basics
มุมมอง 2912 ชั่วโมงที่ผ่านมา
Quick recap of applied ML: model training, validation and regularization. The course shows you how to use regularization to couple the training of personalized models across a network.
CS-E4740 Federated Learning - Course Prerequisites
มุมมอง 2412 ชั่วโมงที่ผ่านมา
This video discusses the prerequisites for the course CS-E4740 Federated Learning offered during spring 2025 at @aaltouniversity Course website: federatedlearningaalto.github.io/
CS E4740 Federated Learning - Course Overview
มุมมอง 12714 ชั่วโมงที่ผ่านมา
This video gives an overview of the course CS-E4740 Federated Learning, starting at 24-Feb-2025. We discuss prerequisites, learning goals, graded activities and schedule. The final part of the video gives a brief introduction to federated learning, its relation to machine learning and a quick recap of model training, validation and regularization. Slides can be found at the course site federate...
Machine Learning Scheduling for Energy Efficient Server-less Cloud Workloads
มุมมอง 67วันที่ผ่านมา
Praewpiraya Wiwatphonthana presents their master thesis on ML for scheduling for energy efficient server-less cloud workloads. #cloudcomputing #serverlesscomputing #greenenergy @Deeplearningai
Effect of Teaching Language on Learning Machine Learning
มุมมอง 73วันที่ผ่านมา
Linda Loukamo presents their master thesis work conducted at @aaltouniversity .
Personalized Model Agnostic Federated Learning
มุมมอง 57วันที่ผ่านมา
Phi Dang presents their master thesis completed at Aalto University.
An Introduction to Heuristic Algorithms
มุมมอง 70หลายเดือนก่อน
This short video discusses basic ideas behind heuristic algorithms. We use stochastic gradient descent as a running example.
Forecasting Retail Investor Fund Flow Using Machine Learning
มุมมอง 442 หลายเดือนก่อน
MSc thesis presentation by Roope Kausiala.
Determining User Preference Profiles from Email And User Engagement Data
มุมมอง 553 หลายเดือนก่อน
Master thesis presentation by Vilhelm Toivonen.
Backdoor Attacks on Transformer-Based Weather Forecast
มุมมอง 605 หลายเดือนก่อน
Backdoor Attacks on Transformer-Based Weather Forecast
Traffic Accident Forecasting with Deep Learning
มุมมอง 1057 หลายเดือนก่อน
Traffic Accident Forecasting with Deep Learning
CS-E4740 Federated Learning at Nokia - Part I
มุมมอง 1389 หลายเดือนก่อน
CS-E4740 Federated Learning at Nokia - Part I
CS-E4740 Privacy-Preserving Data Processing
มุมมอง 3269 หลายเดือนก่อน
CS-E4740 Privacy-Preserving Data Processing
CS-E4740 Explainable Federated Learning
มุมมอง 1879 หลายเดือนก่อน
CS-E4740 Explainable Federated Learning
CS-E4740 Human Agency and Oversight in Federated Learning
มุมมอง 489 หลายเดือนก่อน
CS-E4740 Human Agency and Oversight in Federated Learning
CS E4740 From Linear to Non Linear Models
มุมมอง 899 หลายเดือนก่อน
CS E4740 From Linear to Non Linear Models
Dear sir, provide pdf notes thanks
You can find the slides on the course site FederatedLearningAalto.github.io
@@alexjung111 thanks
Interesting topic! Might even consider implementing electricity prices (together with estimated energy consumption, based on those usage metrics) to make it more applicable in real business scenarios. Similar to how energy providers schedule their production based on market prices
Viel Spaß ❤
Indeed, very informative and well structured! Big thanks! (from Uzb)
Thank you very much!
huge thanks for valuable content! appreciate it. it seems that FedorAS paper is what we are searching for. but i could not access to material/ppt for demonstrations through the given link. it gives "page not found" error.
Great info. Thanks for this information.
I am making a transformer based regression model from scratch. I need help with the code, can u help me ?
It is enjoyable and easy to listen to your lectures, thank you for uploading them. The pacing is perfect for me.
Glad you like them!
hello sir, do you have the pdf she teaches? i want it where can i find it
thanks
Herrlich
Thanks a lot sir for providing these lectures they will be really helpful for my projects
Top
Plz cm my favorite new video🎉🎉🎉
Wow wow wow wow wow wow wow wow wow wow wow🎉🎉🎉🎉
Thank you for the video!
An amazing lecture sir. I am really inspired by your way of teaching. Thank you very much for this lecture sir.
So nice of you
CORRECTION: I have used a wrong choice for the vector q (around 24:05). The correct choice for vector q is presented in Eq. 2.7 of the lecture notes (github.com/alexjungaalto/FederatedLearning/blob/main/material/FL_LectureNotes.pdf). Note that Eq. 2.7 uses also a normalization by the sample size for both, matrix Q and vector q.
During the end of this lecture I discuss the computational complexity of inverting and multiplying matrices. You can read more about this topic e.g. here en.wikipedia.org/wiki/Computational_complexity_of_mathematical_operations and here en.wikipedia.org/wiki/Computational_complexity_of_matrix_multiplication
Hello, Recently I explore your TH-cam channel and noticed you've been facing some challenges with your channel's growth, particularly in terms of views. I'm here to lend a hand and offer my expertise in video SEO, promotion, and monetization to give your channel the boost it deserves. Together, we can fine-tune your video titles to grab attention, use engaging descriptions,use rank tag, and design thumbnails that invite clicks. Your content isn't optimized and SEO friendly that's why you didn't get actual result of your videos.If you do the above things properly you will see the amazing result of your content.If you're up for a chat, I'd love to hear more about your goals and challenges, and also if you want then I can send your channel audit file free. Looking forward to the opportunity to help your channel thrive. Thanks and Regards Mukta.
it would be very cool to bring the camera closer to the board
Is there a code base linked to this paper/project ?
With this mean the Compressed Federated Distillation that I‘m interested in.
Thank you!! The visualization is awesome!
😳 Promo*SM
How to find optimal number of clusters in fuzzy c means
Very nice
really interesting....great professor 👏👏👏👏
Thank you for your sharing. Could you please suggest some ideas about applying FL in Computer Vision?
www.nature.com/articles/s41598-022-05539-7
Very good
Cool for who did you do this project? Did you cover all roadmarkings?
This was a collaboration with city planners from #helsinki.
Thanks man. I use the online draft of your book for ERM. It's easier to read than Shalev-Schwartz and Ben-David
che corso meraviglioso, scoperto tardi (solo oggi) ma lo seguirò sicuramente!!!! Bravo Bravo Bravo!!!!!👏👏👏👏
Fascinating! 🌟
What’s the red pie?
Chocolate
What are the sugared ball-candy called please?
Fazer Fruit Jellies
Are you skiing?
Yes
Shining
😃👍🏻
Thanks for sharing. Video is quite small at the corner of your desktop.
Thx. Yes, the recording was sub-optimal. I mainly uploaded the recording to have access to the TH-cam annotation tool :-)
Thank you so much
can you provide the code of this scenario?
Could you please provide the link of this dataset?
Can you provide the code for the same?
Hello Sir i have this question i dont what to write. Plz can you help me Discuss, in relation to satellite-based remote sensing, the radiative transfer model of the visible portion of the electromagnetic spectrum in the ocean, including in your answer the various types of scattering and interactions between electromagnetic radiation from the sun and atmospheric constituents.
So glad I found this video!! Do not waste your time = P-R-O-M-O-S-M!
Excellent piece of work Pasi. Another great example how tech can help International Development sector.
Ausgezeichnet.
Thanks! Sadly, Kimi will never win again :(
crystal clear explanation, thank you so much!