FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Summary
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients is a scholarly article[1].
Key Facts
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients. Retrieved May 24, 2026, from https://4ort.xyz/entity/fldetector-defending-federated-learning-against-model-poisoning-attacks-via-detecting-malicious-clients
MLA“FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fldetector-defending-federated-learning-against-model-poisoning-attacks-via-detecting-malicious-clients.
BibTeX@misc{4ortxyz_fldetector-defending-federated-learning-against-model-poisoning-attacks-via-detecting-malicious-clients_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients}}, year = {2026}, url = {https://4ort.xyz/entity/fldetector-defending-federated-learning-against-model-poisoning-attacks-via-detecting-malicious-clients}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients — https://4ort.xyz/entity/fldetector-defending-federated-learning-against-model-poisoning-attacks-via-detecting-malicious-clients (retrieved 2026-05-24)
