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matt-caesar

How to Succeed in Early-Career Research

Mar 2025 WED 5 5pm CET panel discussion register platform speakers & organizers downloads How to Succeed in Early-Career Research Speakers:  Ranysha Ware – CMU – USA Erick Semindu – CMU – Rwanda –Africa Bernard Lamptey – CMU – Rwanda – Africa Liz Izhkevich – UCLA – USA Organizer: Matthew Caesar – Siebel School of… Read More »How to Succeed in Early-Career Research

serge-fdida

Report on the Dagsthul Seminar “Research Infrastructures and Tools for Collaborative Networked Systems Research”

Feb 2025 WED 19 5pm CET panel discussion register platform speakers & organizers downloads Report on the Dagsthul Seminar “Research Infrastructures and Tools for Collaborative Networked Systems Research” Speakers / Organizers:  Georg Carle – TUM – Germany Serge Fdida – Professor of Computer Sciences, Sorbonne Université Kate Keahey – University of Chicago Henning Schulzrinne –… Read More »Report on the Dagsthul Seminar “Research Infrastructures and Tools for Collaborative Networked Systems Research”

serge-fdida

Fireside chat with Paul Mockapetris, the inventor of the DNS (hosted by Serge Fdida and Jim Kurose). What’s in a name!

Feb 2025 WED 5 5pm CET panel discussion register platform speakers & organizers downloads Fireside chat with Paul Mockapetris, the inventor of the DNS (hosted by Serge Fdida and Jim Kurose). What’s in a name! Speaker:  Paul Mockapetris – The Inventor of the DNS Organizers: Serge Fdida – Professor of Computer Sciences, Sorbonne Université Jim… Read More »Fireside chat with Paul Mockapetris, the inventor of the DNS (hosted by Serge Fdida and Jim Kurose). What’s in a name!

Challenges and opportunities of Distributed Learning

Dec 2024 WED 11 5pm CET panel discussion register platform speakers & organizers downloads Challenges and Opportunities of Distributed Learning Speakers:  Peter Kairouz – Google Giovanni Neglia – Inria Organizer: Anne-Marie Kermarrec – EPFL As data grows in scale and complexity, distributed learning has emerged as a critical paradigm for training machine learning models across diverse… Read More »Challenges and opportunities of Distributed Learning