Federated and Collaborative Learning Boot Camp

Program

Federated and Collaborative Learning

Location

Calvin Lab auditorium

Date

Monday, Jan. 26 – Friday, Jan. 30, 2026

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All talks listed in Pacific Time. Schedule subject to change.

1 – 1:30 p.m.

Opening Remarks

1:30 – 2:30 p.m.

Short Talks

Chester Chen (NVIDIA),
Sean Augenstein (Google),
Sewon Min (UC Berkeley),
Kunal Talwar (Apple),
Patrick Foley (Flower)

2:30 – 3 p.m.

Break

3 – 4 p.m.

Panel I: Federated Learning in the Foundation Model Era

Chester Chen (NVIDIA),
Sean Augenstein (Google),
Sewon Min (UC Berkeley),
Kunal Talwar (Apple),
Patrick Foley (Flower)

4 – 5 p.m.

Reception

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:30 a.m.

Tutorial: Federated Optimization, Part I

Peter Richtarik (KAUST)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Tutorial: Federated Optimization, Part II

Peter Richtarik (KAUST)

12 – 2 p.m.

Lunch (on your own)

2 – 3 p.m.

Tutorial: Federated Optimization, Part III

Peter Richtarik (KAUST)

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

FedOpt for LLMs

Keith Rush (Google)

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:30 a.m.

Tutorial: Privacy, Part I

Adam Smith (Boston University),
Lydia Zakynthinou (JHU)

10:30 – 11 a.m.

Break

11 a.m. – 12 p.m.

Tutorial: Privacy, Part II

Adam Smith (Boston University),
Lydia Zakynthinou (JHU)

12 – 2 p.m.

Lunch (on your own)

2 – 3 p.m.

Tutorial: Privacy, Part III

Adam Smith (Boston University),
Lydia Zakynthinou (JHU)

3 – 3:30 p.m.

Break

3:30 – 4:30 p.m.

Tutorial: Security

Adria Gascon (Google)

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 11:30 a.m.

Tutorial: Incentives for Collaborative Learning and Data Sharing, Part I

Han Shao (UMD),
Sai Praneeth Karimireddy (USC)

9:30 – 11:30 a.m.

Tutorial: Incentives for Collaborative Learning and Data Sharing, Part I

Han Shao (UMD),
Sai Praneeth Karimireddy (USC)

11:30 a.m. – 1:30 p.m.

Lunch (on your own)

1:30 – 3 p.m.

Tutorial: Incentives for Collaborative Learning and Data Sharing, Part II

Han Shao (UMD),
Sai Praneeth Karimireddy (USC)

3 – 3:30 p.m.

Break (Reception for RMK Lecture)

3:30 – 4:30 p.m.

Let’s Stop Leaving Money on the Table | Richard M. Karp Distinguished Lecture

Katrina Ligett (Hebrew University)

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 10:30 a.m.

Toward Provably Private Federated Learning

Dan Ramage (Google)

10:30 – 10:45 a.m.

Break

10:45 – 11:15 a.m.

Talk by

Micah Sheller (Flower/ML Commons)

11:15 – 11:45 a.m.

Talk by

Adria Gascon (Google)

11:45 a.m. – 12 p.m.

Talk by

Chhavi Yadav (CMU)

12 – 1:30 p.m.

Lunch (on your own)

1:30 – 2 p.m.

Talk by

Kamalika Chaudhuri (Meta)

2 – 2:30 p.m.

Talk by

Om Thakkar (OpenAI)

2:30 – 3 p.m.

Break

3 – 4 p.m.

Panel II: Policy, Privacy & Security for Collaborative Learning

Kamalika Chaudhuri (Meta),
Dan Ramage (Google),
Micah Sheller (Flower),
Om Thakkar (OpenAI),
Adria Gascon (Google)