DeepSeek releases ‘sparse attention’ model that cuts API costs in half

Researchers at DeepSeek released a new experimental model designed to have dramatically lower inference costs when used in ...

DeepSeek launches experimental model more efficient at handling long-text scenarios

Exp, an experimental version of its flagship model and a stepping stone towards its next-generation architecture, the China-based artificial intelligence startup announced Monday.
WinBuzzer

DeepSeek Releases Experimental V3.2 AI Model with ‘Sparse Attention’ to Boost Efficiency

Chinese AI lab DeepSeek has released DeepSeek-V3.2-Exp, an experimental open-source model testing a new, more efficient ...
Devdiscourse

DeepSeek's Groundbreaking AI Model: Paving the Way for Future Innovations

DeepSeek, a Chinese AI developer, has launched its experimental model, DeepSeek-V3.2-Exp. This model boasts improved ...
IEEE

Deep Unfolding Enabled Sparse Signal Recovery in Cell-Free IoT System

Abstract: Massive devices co-exist in IoT systems and the connection is sparse due to burst IoT service. To address this issue, in this paper we propose a deep unfolding network based on the ...
IEEE

Sparse Decentralized Federated Learning

Abstract: Decentralized Federated Learning (DFL) enables collaborative model training without a central server but faces challenges in efficiency, stability, and trustworthiness due to communication ...