August 17-August 18 : DavidFest and YishayFest

Organizers:

• Avrim Blum (TTIC)
• Lee Cohen (TTIC)

Celebratory / milestone birthday workshops in honor of TTIC’s David McAllester, and friend-of-TTIC Yishay Mansour. YishayFest will be August 17 and DavidFest will be August 18. The workshops will feature talks by Nina Balcan, Nicolò Cesa-Bianchi, Pedro Felzenszwalb, Shafi Goldwasser, Sham Kakade, Adam Kalai, Haim Kaplan, Michael Kearns, Michael Littman, Mehryar Mohri, Fernando Pereira, Deva Ramanan, Rob Schapire, and Shai Vardi.

Registration Form

August 21-August 23 : NSF-TRIPODS Postdoc Workshop

Organizers:

• The Institute for Data, Econometrics, Algorithms, and Learning (IDEAL)

This workshop will bring together postdocs from all the different NSF-TRIPODS institutes. Our plan is to have research talks by postdocs, and panel discussions by faculty and industry researchers on career and other issues. We hope this will be a fun and intellectually-stimulating event as well as a chance to build a TRIPODS postdoc community. Panelists include Pranjal Awasthi (Google NYC), Maryam Fazel (U Washington), Abolfazl Hashemi (Purdue), Piotr Indyk (MIT), Ermin Wei (Northwestern), Becca Willett (UChicago), and Steve Wright (UW-Madison).

Registration Form

September 8-September 9 : New Frontiers in Federated Learning

Organizers:

• Kumar Kshitij Patel (TTIC)
• Aadirupa Saha (Apple, ML Research)
• Nati Srebro (TTIC)
• Lingxiao Wang (TTIC)
• Zheng Xu (Google)

Federated learning has recently gained significant attention due to its ability to extract insights from sensitive data while mitigating privacy concerns and enabling efficient machine learning. Federated learning prioritizes privacy by keeping data on local devices and sending only model updates to a central server for aggregation, and has found numerous applications in fields such as healthcare, finance, and retail. The primary aim of this workshop is to connect the theoretical underpinnings and practical applications in research on Federated Learning: We will cover multiple areas related to Federated Learning, including Distributed optimization, Privacy, Mechanism Design, and also some topics related to fairness. We also plan to hold brainstorming and mentoring sessions to catalyze new ideas and discuss new starting points, ideas, questions, or applications.

Registration Form

TTIC is committed to providing a respectful and positive environment for all members of its community, free from all forms of discrimination and harassment.