Join us for our 2026 Q1 NVIDIA FLARE Webinar, where we dive into the deployment capabilities as well as peer-to-peer algorithm development with NVIDIA FLARE—NVIDIA’s open-source federated learning framework. Whether you're new to FLARE or looking to take your distributed training pipelines to the next level, this session is packed with practical insights.

Agenda (PST)
* 9:00 am -- 9:05 am: member join online
* 9:05 am -- 9:45 am: Talk 1 + QA, by Holger Roth (NVIDIA)
* 9:45 am -- 10:30 am: Talk 2 + QA, by Adrish Sannyasi (Rhino Federated Computing Platform)

Talk 1: Federated Learning Made Easy: NVIDIA FLARE's Simplified API Stack
Abstract: NVIDIA FLARE makes federated learning more accessible through three APIs that simplify the developer experience—from adapting existing training code, to building full FL jobs, to experimenting with new algorithms.
In this talk, we'll demonstrate how these three APIs work together to transform the federated learning development experience through live examples, showing how barriers to entry have been eliminated for practitioners, data scientists, and researchers alike.
Speaker: Holger Roth (NVIDIA)

Talk 2: Building and Deploying Federated Agents Across Multicloud and Edge AI
Abstract: As AI systems evolve from single models into coordinated collections of autonomous agents, centralized architectures increasingly fail to meet real-world requirements around data locality, regulatory compliance, latency, and heterogeneous infrastructure. This technical, demo-driven webinar presents a practical blueprint for building and operating federated AI agents across public cloud, private infrastructure, and edge environments using the Rhino Federated Computing Platform and NVIDIA GPU-accelerated technologies. Through a live end-to-end demonstration, attendees will see how policy-driven agent placement, secure coordination, local LLM-powered data harmonization, federated cohort construction, and data quality validation can be executed without centralized data movement.
The session focuses on concrete implementation patterns, operational considerations, and architectural tradeoffs, equipping ML engineers, platform teams, and AI architects with actionable guidance for deploying federated agent systems in production.
Speaker: Adrish Sannyasi (Rhino Federated Computing Platform)

Venue:
virtual, join from anywhere.

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