  We propose a comprehensive approach to increase the reliability and
resilience of future power grids rich in distributed energy resources. Our
distributed scheme combines federated learning-based attack detection with a
local electricity market-based attack mitigation method. We validate the scheme
by applying it to a real-world distribution grid rich in solar PV. Simulation
results demonstrate that the approach is feasible and can successfully mitigate
the grid impacts of cyber-physical attacks.
