Call for Papers

FLEdge-AI 2025 welcomes submissions from both researchers and practitioners from academia and industry that explore the latest developments in data privacy and federated learning technologies on edge networks. In addition, we encourage work-in-progress and position papers that describe highly original ideas, present new directions, or have the potential to generate insightful provocative discussion at the workshop.

The FLEAM 2025 workshop aims to bring together researchers, practitioners, and industry leaders to explore the intersection of Federated Learning (FL) and Edge AI with mobile and wireless systems. As the mobile computing landscape evolves toward 6G, edge intelligence, and decentralized AI, FL becomes a foundational technology enabling privacy-preserving, resilient, and distributed machine learning across dynamic, resource-constrained environments.The workshop will serve as a forum for the latest research in algorithms, systems, and real-world deployments of federated learning in mobile and edge scenarios.

Submission Instructions

All papers must be in PDF format, using the ACM conference style. The review process will be single-blind, and each submission will be evaluated by at least three reviewers from the Program Committee. Accepted papers will be published in the ACM Digital Library as part of the official MobiCom 2025 Workshop Proceedings

Topic of Interests

The goal of this FLEdge-AI 2025 Workshop is to bring together scientists, researchers, and engineers to identify new problems, latest novel topics, and emerging technologies. We focus on all aspects of edge network, data privacy and federated technologies, including but not limited to the following:

• Federated Learning protocols for mobile, vehicular, and edge networks
• Communication-efficient FL (e.g., quantization, sparsification, gossip-based)
• FL under client mobility, heterogeneity, and intermittent connectivity
• Privacy and security in mobile FL (e.g., differential privacy, secure aggregation)
• Personalization and federated transfer learning
• Multi-agent and swarm intelligence-based FL
• Benchmarking FL in wireless/mobile environments
• Network-aware optimization and system-level co-design for FL
• FL deployment in UAVs, mobile edge clouds, and autonomous systems

Submission : FLEdge-AI 2025 HotCRP (Not Launched yet)

Important Dates

• Workshop Paper Submissions: July 25, 2025
• Notification of acceptance: September 15, 2025
• Camera-ready Workshop Papers: October 10, 2025 (No Extension Allowed)
• Workshop Dates: November 8, 2025