Secure Federated Learning in Smart Agriculture: A Survey of Poisoning Attacks, Defences and Challenges
Smart agriculture increasingly relies on Federated Learning (FL) to train shared models for crop classification, irrigation scheduling, disease detection, and rainfall prediction across many farms without centralizing sensitive operational data. This decentralization mitigates the privacy and bandwidth costs of traditi...