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FLUTE: A scalable federated learning simulation platform
Federated learning has become a major area of machine learning (ML) research in recent years due to its versatility in training complex models over massive amounts of data without the need to share that data with a centralized entity. ...
FLUTE: A scalable federated learning simulation platform
Federated learning has become a major area of machine learning (ML) research in recent years due to its versatility in training complex models over massive amounts of data without the need ...
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Panel: Challenges and opportunities of causality
What is causal machine learning? Is it the same as causality research? What are the recent advances and future opportunities? This panel is a unique session where you can hear world-leading ...
[D] Working in ML / computational learning theory question
2 votes and 5 comments so far on Reddit
A Beginners Guide to Federated Learning
Federated Learning model is trained from user interaction with mobile devices which enables to learn over a shared prediction model.
Pinterest Labs Tech Talk
How do we protect privacy of users when building large-scale AI based systems? How do we develop machine learned models and systems taking fairness, accountability, and transparency into ...
Building AI Brain Trust: What Technical Skills Are Needed To Accelerate AI Adoption? A Focus On Quality AI Research Methods.
This blog continues in the AI Leadership Brain Trust series and introduces the ten technical skills in attracting, developing and retaining an AI or Chief Data Scientist. This blog ...
PhD candidate in Deep Efficient Temporal Learning
PhD candidate in Deep Efficient Temporal Learning
Faculty Affiliate Positions
Applications for the 2019 Faculty Affiliates Program are now open!
Join The Partnership at FAT* 2020
Building Community around Fairness, Accountability, and Transparency in AI The impact of algorithmic systems on fairness, transparency, and accountability (FTA) is at the heart of the ACM ...
HAMLET: A platform to simplify AI research and development
Machine learning (ML) algorithms have proved to be highly valuable computational tools for tackling a variety of real-world problems, including image, audio and text classification tasks. ...
Sr. Data Scientist, Brillio: Data Scientist needs to be proficient in Machine Learning algorithms
As jobs for Data Science picks up demand in the market, organisations are constantly embracing the learning and upskilling. To understand the fundamentals of the industry, we spoke to ...
AirSim on Unity: Experiment with autonomous vehicle simulation
We’ve partnered with Microsoft to bring the autonomous vehicle simulator AirSim to Unity. This collaboration helps democratize the development capabilities...