Sevim Ceylan Böcekçi

Adversarial attack detection in resource-constrained environments: a stable and sequential federated learning architecture with TinyLlama-1.1B

Large language models (LLMs) create significant training bottlenecks on resource-constrained edge devices because of their massive size. Existing federated learning architectures typically require clients to train simultaneously; however, this leads to system crashes due to the high amount of VRAM required by LLMs. Whi...