Workshop Schedule (Pacific Timezone, Room 102B)

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