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cs.LG2025
FedLAD: A Linear Algebra Based Data Poisoning Defence for Federated Learning
Qi Xiong, Hai Dong, Nasrin Sohrabi +1
Sybil attacks pose a significant threat to federated learning, as malicious nodes can collaborate and gain a majority, thereby overwhelming the system. Therefore, it is essential t…
cs.LG2025
Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
Chamara Madarasingha, Nasrin Sohrabi, Zahir Tari
Time-series prediction or forecasting is critical across many real-world dynamic systems, and recent studies have proposed using Large Language Models (LLMs) for this task due to t…