Abstract: Federated learning enables participants to collaboratively train a global model through distributed training without sharing raw data. However, this distributed training is vulnerable to ...
Abstract: Recent years have witnessed a huge demand for artificial intelligence and machine learning applications in wireless edge networks to assist individuals with real-time services. Federated ...
Confidential computing (CC) emerges as an important solution, utilizing hardware-rooted Trusted Execution Environments to ...
The field of orofacial medicine increasingly recognizes the temporomandibular joint (TMJ) as a complex anatomical and functional unit whose disorders can ...
Our paper about the robust FL algorithms evaluation with a new algorithm has been accepted by NeurIPS 2025, please check our FedGPS. In the open-source code of FedGPS we provide a clearer codebase for ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
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Frustrating Patchwork Of State-Level AI Laws Is Forcing AI Makers Into Devising Jurisdictionally Compliant Chatbot Models
State-level AI laws are being enacted at a rapid pace, but this is creating a Byzantine array of AI restrictions. AI makers struggle. An AI Insider analysis and scoop.
Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...
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