Poisoning Attacks in Federated Learning: An Accountability- Oriented Survey with Centralized Learning as a Baseline
Artificial intelligence (AI) systems are increasingly deployed in high-stakes domains, where poisoning attacks can corrupt training data, manipulate model updates, or implant covert backdoors. This survey examines poisoning attacks in federated learning (FL), using centralized learning as a baseline to explain how dist...