A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Zhaohui Yang, Mingzhe Chen, Walid Saad, et al.
Proposes an iterative algorithm to minimize total energy consumption in federated learning over wireless networks under latency constraints, achieving up to 59.5% energy reduction.
Stefania Sardellitti, Gesualdo Scutari, Sergio Barbarossa
Jointly optimizes radio and computational resources in MIMO multicell mobile-edge computing to minimize energy consumption under latency constraints.
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EfficientFormer revisits ViT design principles through latency analysis, identifies inefficient operators, and proposes a dimension-consistent design with a latency-driven slimming method for faster inference.
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Google introduces Gemini 2.5, a family of multimodal AI models optimized for agentic systems with long context and tool use, balancing reasoning, cost, and latency.
Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, et al.
Introduces online speculative decoding to reduce LLM serving latency by adapting draft models on the fly.
Baohao Liao, Yan Meng, C. Monz
This paper proposes a parameter-efficient fine-tuning method that matches full fine-tuning performance without introducing additional inference latency.
Shyamal Y. Dharia, Stephen D. Smith, Camilo E. Valderrama
Diff-Logic networks enable low-latency EEG classification on edge devices by compiling models into pure Boolean circuits, achieving competitive accuracy with constant inference time across scales.