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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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Schedule | Federated and Collaborative Learning Boot Camp
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The Workshop
Schedule
Videos
All talks listed in Pacific Time. Schedule subject to change.
Monday, Jan. 26, 2026
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)
Video
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)
Video
4
–
5 p.m.
Reception
Tuesday, Jan. 27, 2026
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:30 a.m.
Tutorial: Federated Optimization, Part I
Peter Richtarik (KAUST)
Video
10:30
–
11 a.m.
Break
11 a.m.
–
12 p.m.
Tutorial: Federated Optimization, Part II
Peter Richtarik (KAUST)
Video
12
–
2 p.m.
Lunch (on your own)
2
–
3 p.m.
Tutorial: Federated Optimization, Part III
Peter Richtarik (KAUST)
Video
3
–
3:30 p.m.
Break
3:30
–
4:30 p.m.
FedOpt for LLMs
Keith Rush (Google)
Video
Wednesday, Jan. 28, 2026
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)
Video
10:30
–
11 a.m.
Break
11 a.m.
–
12 p.m.
Tutorial: Privacy, Part II
Adam Smith (Boston University)
,
Lydia Zakynthinou (JHU)
Video
12
–
2 p.m.
Lunch (on your own)
2
–
3 p.m.
Tutorial: Privacy, Part III
Adam Smith (Boston University)
,
Lydia Zakynthinou (JHU)
Video
3
–
3:30 p.m.
Break
3:30
–
4:30 p.m.
Tutorial: Security
Adria Gascon (Google)
Video
Thursday, Jan. 29, 2026
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)
Video
9:30
–
11:30 a.m.
Tutorial: Incentives for Collaborative Learning and Data Sharing, Part I
Han Shao (UMD)
,
Sai Praneeth Karimireddy (USC)
Video
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)
Video
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)
Friday, Jan. 30, 2026
9
–
9:30 a.m.
Coffee and Check-In
9:30
–
10:30 a.m.
Talk by
Dan Ramage (Google)
Video
10:30
–
10:45 a.m.
Break
10:45
–
11:15 a.m.
Talk by
Micah Sheller (Flower/ML Commons)
Video
11:15
–
11:45 a.m.
Talk by
Adria Gascon (Google)
Video
11:45 a.m.
–
12 p.m.
Talk by
Chhavi Yadav (CMU)
Video
12
–
1:30 p.m.
Lunch (on your own)
1:30
–
2 p.m.
Talk by
Kamalika Chaudhuri (Meta)
Video
2
–
2:30 p.m.
Talk by
Om Thakkar (OpenAI)
Video
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)
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