We're presenting a tutorial on "Federated and Decentralized Multitask Learning" IEEE ICASSP with Roula Nassif from Université Côte d'Azur and Ali H. Sayed from EPFL. Come join us if you're interested in distributed learning from heterogeneous data! 2022.ieeeicassp.org/tutorials.php#…

Privatized Graph Federated Learning deepai.org/publication/pr… by Elsa Rizk et al. including Stefan Vlaski #ComputerScience #Learning

I will be speaking today at the STATOS workshop (1 to 6:30 CET, statos2022.github.io) in Belgrade, streamed through the One World SP Seminar Series (www1.se.cuhk.edu.hk/~htwai/oneworl…). If you're interested in communication-constrained distributed learning, please consider tuning in!

Quantization for decentralized learning under subspace constraints deepai.org/publication/qu… by Roula Nassif et al. including Stefan Vlaski #Statistics #Estimator

📢 We are honoured to be a partner of the Schmidt AI in Science Postdocs Fellowship! The Schmidt Futures programme will support postdoctoral fellows learning and applying #AI methods to their research. Read more 👇 ow.ly/y8Kv50LmvAs

I'm looking for a PhD student to join my lab and explore the potential of variable-friction #robotic grippers. A more detailed post, with requirements and application instructions is currently over on LinkedIn: linkedin.com/posts/ad-spier…

📢 Job Alert🚨Research Associate in Computational Immunology: checkpoint pathways, macrophages and immune dysregulation in liver inflammation📢 Join our Liver Immunology Group at Metabolism, Digestion & Reproduction | Funding: MRC NIRG | Collaborators: Prakash Ramachandran, MarkMcPhail, Penny |

We are still hiring a Home/UK PhD student in the @AI4HealthCentre, working with Declan O'Regan, Stefan Vlaski and myself on "Heterogeneous cardiac analysis in federated learning for cadiovasular risk prediction". Interested applicants please apply here: ai4health.io/apply/