Schedules

Time	Event	Title
8:00 am - 8:05 am	Opening Ceremony
8:05 am - 8:50 am	Keynote Talk 1: Jian Pei	Data Valuation in Federated Learning
8:50 am - 9:35 am	Keynote Talk 2: Salman Avestimehr	FedLLM: Federated Training of Large Language Models on Private, Sensitive, and Siloed Data [Slides]
9:35 am - 10:00 am	Coffee Break
10:00 am - 10:45 am	Keynote Talk 3: Yiran Chen	Revolutionizing Federated Learning: A Leap in Efficiency, Robustness, and Performance
10:45 am - 11:30 am	Keynote Talk 4: Aidong Zhang	Multi-party Learning in Federated Environments
11:30 am - 12:00 pm	Poster Presentation
12:00 pm - 1:00 pm	Lunch Break
1:00 pm - 1:15 pm	Oral Presentation 1	Distributed Personalized Empirical Risk Minimization
1:15 pm - 1:30 pm	Oral Presentation 2	Is Normalization Indispensable for Multi-domain Federated Learning?
1:30 pm - 2:15 pm	Keynote Talk 5: Carl Yang	Federated Learning with Graph Data for Healthcare [Slides]
2:15 pm - 3:00 pm	Keynote Talk 6: Heiko Ludwig	Maintaining Privacy and Secrecy in Federated Learning in the Enterprise
3:00 pm - 3:30 pm	Coffee Break
3:30 pm - 4:15 pm	Keynote Talk 7: Tian Li	Tilted Losses in Machine Learning: Theory and Applications to Federated Learning
4:15 pm - 5:00 pm	Keynote Talk 8: Ananda T. Suresh	Scaling model size in cross-device federated learning
5:00 pm - 5:10 pm	Award Ceremony and Clossing Session