Welcome!

FedEdge 2022 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.

Workshop Topics

The goal of this FedEdge 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:

• Security, fairness and privacy in edge caching
• Reinforcement learning and MAB algorithms for resource management at the edge
• Federated machine learning among multiple edge networks
• Multi-task learning methods for various edge applications
• Knowledge distillation and model miniaturization on edge servers
• Game-theoretic and multi-agent approaches to distributed algorithms at the edge
• Modeling, monitoring and analysis of heterogeneous edge networks

Important Dates

• Workshop Paper Submissions: June 30, 2022
• Notification of acceptance: August 7, 2022
• Camera-ready Workshop Papers: August 30, 2022
• Workshop Dates: October 17, 2022