Fatih Şahin

FedMARL-LTI: Federated Multi-Agent Reinforcement Learning with LLM-Compatible Threat Intelligence for Cooperative Cyber Defense

FedMARL-LTI is presented, a federated multi-agent reinforcement learning framework whose architecture answers both pressures with a single decision: each organization’s threat intelligence is shared only as a differentially private 768-dimensional semantic embedding, never as raw data.