Abstract: Aiming at the issue that most of the existing knowledge graph-based methods for personalized learning resource recommendations do not take full advantage of collaborative signals from ...
When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...
Abstract: Although federated learning offers a level of privacy by aggregating user data without direct access, it remains inherently vulnerable to various attacks, including poisoning attacks where ...
body { background: #F2F2F2; color: #999; padding: 0; margin: 0; } .container { width: 820px; margin: 10px auto; padding: 25px; min-height: 400px; height: auto; } .box ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results