Accès ouvert
2026
preprint
OpenAlex
Hefeng Zhou, Xuan Liu, Sicheng Chen, Wutong Zhang et autres
Federated cross-modal retrieval faces severe challenges from heterogeneous client data, particularly non-IID semantic distributions and missing modalities. Under such heterogeneity, a single global model is often insufficient to capture both shared cross-modal knowledge and client-specific characteristics. We propose RCSR, a personalization-friendly federated …
Accès ouvert
2026
preprint
OpenAlex
Hefeng Zhou, Xuan Liu, Sicheng Chen, Wutong Zhang et autres
Federated cross-modal retrieval faces severe challenges from heterogeneous client data, particularly non-IID semantic distributions and missing modalities. Under such heterogeneity, a single global model is often insufficient to capture both shared cross-modal knowledge and client-specific characteristics. We propose RCSR, a personalization-friendly federated …
cn
(code pays fourni par la source)
Accès ouvert
2025
preprint
OpenAlex
Kaixiang Wang, Zhaojiacheng Zhou, Bunyod Suvonov, Jiong Lou et autres
Large Language Model (LLM)-based Multi-Agent Systems (MAS) are susceptible to linguistic attacks that can trigger cascading failures across the network. Existing defenses face a fundamental dilemma: lightweight single-auditor methods are prone to single points of failure, while robust committee-based approaches incur prohibitive …