Courses from 1000+ universities
Buried in Coursera’s 300-page prospectus: two failed merger attempts, competing bidders, a rogue shareholder, and a combined market cap that shrank from $3.8 billion to $1.7 billion.
600 Free Google Certifications
Psychology
Information Technology
Digital Marketing
AP® Microeconomics
Let's Get Started: Building Self-Awareness
Dino 101: Dinosaur Paleobiology
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore federated learning concepts with Alexander Tyurin from Skoltech and AIRI in this FLOW seminar, covering advanced research and applications in distributed machine learning.
Explore cutting-edge developments in federated learning and its transformative role in the future of Large Language Models through insights from Cambridge researcher Nic Lane.
Explore the evolving landscape of consumer edge-AI computing with insights on emerging technologies, challenges, and future directions in mobile and distributed computing systems.
Discover cutting-edge techniques for on-device machine learning training with minimal memory requirements, presented by MIT's Song Han in this technical seminar on resource-efficient AI deployment.
Explore advanced concepts in federated automatic differentiation with Google researcher Zachary Charles, covering innovative approaches to distributed machine learning and privacy-preserving computation.
Discover how Bayesian approaches enhance personalized federated learning through innovative statistical methods and practical applications in distributed machine learning environments.
Explore advanced distributed learning techniques focusing on spatial and temporal correlations, with insights into FedAvg algorithm, client participation, and optimization strategies.
Explore cutting-edge federated learning applications in medical imaging with NVIDIA expert Holger Roth, focusing on collaborative AI development while maintaining data privacy and security.
Explore advanced variants of split learning techniques in federated systems, focusing on recent engineering developments and applications in distributed machine learning architectures.
Explore privacy-aware compression techniques for federated data analysis, focusing on innovative methods to balance data privacy and efficiency in distributed learning environments.
Discover federated learning insights from Uppsala University's Salman Toor in this 52-minute research seminar exploring cutting-edge distributed machine learning approaches.
Discover the first asynchronous SGD algorithm with optimal time complexity as Arto Maranjyan presents groundbreaking research in federated learning at the FLOW Seminar #126.
Discover the first optimal parallel SGD algorithm with Peter Richtarik from KAUST in this FLOW seminar, exploring groundbreaking advancements in federated learning optimization techniques.
Explore compressed and distributed least-squares regression techniques with Constantin Philippenko from INRIA in this FLOW seminar, focusing on advanced mathematical approaches to federated learning challenges.
Get personalized course recommendations, track subjects and courses with reminders, and more.