Workshops / Special Workshop · MFALL-AMI

Multimodal, Federated, Agentic, and Lifelong Learning for Autonomous Machine Intelligence

April 22–24, 2027Vinh Long, Vietnam

About this workshop

The workshop “Multimodal, Federated, Agentic, and Lifelong Learning for Autonomous Machine Intelligence” aims to explore emerging foundations, models, and systems for building truly autonomous intelligent machines capable of learning, reasoning, and acting over long time horizons with minimal human supervision.

Recent advances in self-supervised learning and world models have opened new directions toward autonomous intelligence. At the same time, the rise of agentic AI, multi-agent systems, large language and vision models, and federated learning introduces new challenges in representation learning, coordination, memory, and continual adaptation.

Topics of interest

Topics of interest include, but are not limited to:

Multimodal and Federated Learning

  • Multimodal representation learning (vision-language-sensor-action)
  • Federated and decentralized learning for autonomous agents
  • Representation alignment and drift in distributed systems
  • Privacy-preserving learning for autonomous intelligence

Agentic and Multi-Agent Learning

  • Agentic AI architectures beyond classical reinforcement learning
  • Multi-agent coordination, communication, and emergence
  • Representation learning for agent memory, planning, and reasoning
  • Collective and distributed intelligence in autonomous systems

Lifelong and Continual Learning

  • Continual and lifelong learning without task boundaries
  • Catastrophic forgetting and stability-plasticity trade-offs
  • Open-world learning and novelty detection
  • Lifelong adaptation in non-stationary environments

Workshop Co-Chairs

  • Dr. Ngo-Ho Anh-KhoiNam Can Tho University, Vietnam
  • Dr. Guillaume SaesGivaudan, France
  • Dr. Hong-Lan BottermanCapgemini Invent France, France
  • Assoc. Prof. Sasmita PadhyVIT Bhopal University, India
  • Prof. Pon HarshavardhananVIT Bhopal University, India
  • Prof. George DaisRajagiri College of Social Sciences, India
  • Prof. Sajimon AbrahamMahatma Gandhi University, India