ResearchTrend Connect | FedML LLMAG VLM

Join us for a ResearchTrend Connect session focused on Federated Machine Learning + Large-Language Model Agents + Vision-Language Models (FedML LLMAG VLM). This is an opportunity to connect with fellow researchers, share insights, and discuss the latest developments. The session will be hosted online via Zoom.

Why join us

• Engage directly with authors of cutting-edge papers in Federated Machine Learning + Large-Language Model Agents + Vision-Language Models.
• Participate in free (bi-)weekly online sessions featuring current research without registration fees or travel expenses.
• Connect with peers through our interactive format.
• Watch recordings of past sessions on our YouTube channel.

Agenda

16:00 - 16:05 (UTC) FedML	Introduction
16:05 - 16:15 (UTC) FedML	Youssef Allouah (EPFL) - Towards Trustworthy Federated Learning with Untrusted Participants
16:20 - 16:30 (UTC) FedML	Drashthi Doshi (Indian Institute of Technology, Bombay) - Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
16:35 - 17:00 (UTC) FedML	Interactive discussion
17:00 - 17:05 (UTC) LLMAG	Introduction
17:05 - 18:00 (UTC) LLMAG	Interactive discussion
18:00 - 18:05 (UTC) VLM	Introduction
18:05 - 18:15 (UTC) VLM	Changdae Oh (University of Wisconsin--Madison) - Visual Instruction Bottleneck Tuning
18:20 - 18:30 (UTC) VLM	Xi Wang (Johns Hopkins University) - Are vision language models robust to uncertain inputs?
18:35 - 19:00 (UTC) VLM	Interactive discussion

Visit our event page at: https://researchtrend.ai/social-events/researchtrend-connect-fedml-llmag-vlm

We look forward to seeing you there!