AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 41 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Federated learning (FL) is a distributed machine learning framework that protects data privacy by allowing multiple participants to jointly train models without sharing local data. However, the distributed nature of FL systems makes them susceptible to backdoor attacks, where attackers inject malicious updates to disru...
HAFT routes audio–visual interaction through bottleneck tokens with adaptive depth-wise gating before integrating text, jointly reducing attention cost and counteracting modality bias; the Cascaded Audio Feature Enhancement (CAFE) framework strengthens prosodic representations via multi-scale time–frequency extraction;...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.