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Found 6 papers, 1 papers with code
LLM Multi-Agent Systems: Challenges and Open Problems
This paper explores existing works of multi-agent systems and identifies challenges that remain inadequately addressed.
CaptainCook4D: A dataset for understanding errors in procedural activities
Following step-by-step procedures is an essential component of various activities carried out by individuals in their daily lives.
Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning
Federated Learning (FL) systems are vulnerable to adversarial attacks, where malicious clients submit poisoned models to prevent the global model from converging or plant backdoors to induce the global model to misclassify some samples.
Automatic Assessment of Divergent Thinking in Chinese Language with TransDis: A Transformer-Based Language Model Approach
However, there is currently a lack of an automatic assessment system for evaluating creative ideas in the Chinese language.
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs
This paper introduces FedSecurity, an end-to-end benchmark designed to simulate adversarial attacks and corresponding defense mechanisms in Federated Learning (FL).
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
We explore the use of policy approximations to reduce the computational cost of learning Nash equilibria in zero-sum stochastic games.
