Scalable and Resilient Agentic Systems

Workshop at ICML 2026

When and Where: The workshop will be held on July 10th or 11th, 2026 (one day), following the ICML main conference at the COEX Convention & Exhibition Center in Seoul, South Korea. This is an in-person workshop.

Scope: This workshop addresses the critical system-level challenges in building scalable, robust, and reliably deployable agentic systems. As AI agents become more sophisticated and interconnected, understanding how to design systems that can scale efficiently while maintaining resilience becomes paramount.

Join us to explore and contribute to the future of robust agentic systems!

🤖
Workshop at
ICML 2026
Scalable & Resilient
Agentic Systems
July 10-11 • Seoul 🇰🇷

Call for Papers

Topics: We welcome and highlight content on scalable and resilient agentic systems, including but not limited to:

  • •
    Scalability: Scaling multi-agent systems; distributed coordination; efficient resource use in large deployments.
  • •
    Training Efficiency: Sample and compute efficient fine-tuning for agentic behaviour; RLHF; curriculum and continual learning for agents.
  • •
    Multi-Agent Coordination: Task allocation; communication protocols; emergent behaviors.
  • •
    Novel Architectures: Diffusion language models; multi-modal agents; new LLM architectures for agentic systems.
  • •
    Robustness: Handling failures; recovery mechanisms; testing agentic systems; learning coordination strategies across heterogeneous agents.
  • •
    Safety: Safety constraints; alignment in multi-agent settings; monitoring and oversight.
  • •
    Security: Attacks (such as adversarial inputs and environments) and defenses for agentic and multi-agent systems.
  • •
    Privacy: Privacy-preserving training and deployment of agentic systems; privacy attacks on existing systems.
  • •
    Real-world Deployment: Production systems; real-world case studies; continuous and online learning.
  • •
    Evaluation: Metrics and benchmarks for agentic systems at scale; evaluating generalization across environments; measuring training efficiency for agentic capabilities.
Keywords:
Multi-Agent Systems Scalability Robustness LLM Agents Distributed AI Safety Coordination

Invited Speakers

Virginia Smith Virginia Smith Carnegie Mellon University
Michael Rabbat Michael Rabbat Meta (FAIR)
Chaowei Xiao Chaowei Xiao Johns Hopkins University
Stjepan Picek Stjepan Picek Radboud Universiteit
Kangwook Lee Kangwook Lee KRAFTON
Ahmad Beirami Ahmad Beirami Ex-Research Leader @ Google (DeepMind), Meta, & EA
Soufiane Hayou Soufiane Hayou Johns Hopkins University

Paper Submission

Submission portal: TBD

📅 Important Dates

  • • Submission deadline: April 24, 2026 (AOE)
  • • Notification to authors: May 15, 2026 (AOE)
  • • Camera ready: TBD
  • • Workshop date: July 10 or 11, 2026

* AOE = Anywhere On Earth

Schedule

📅 TBA

Organizers

Pin-Yu Chen Pin-Yu Chen IBM Research
Lydia Y. Chen Lydia Y. Chen University of Neuchâtel and TU Delft
Xiangliang Zhang Xiangliang Zhang University of Notre Dame
Xiaoxiao Li Xiaoxiao Li University of British Columbia
Samuel Horvath Samuel Horvath Mohamed bin Zayed University of Artificial Intelligence
Aditya Shankar Aditya Shankar TU Delft
Gert Lek Gert Lek Université de Neuchâtel

Contact

For questions about the workshop, please contact: