SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4151–4160 of 4891 papers

TitleStatusHype
Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems—0
Distributed Consensus Optimization with Consensus ALADIN—0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control—0
Distributed Differentially Private Data Analytics via Secure Sketching—0
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes—0
Distributed Flexible Nonlinear Tensor Factorization—0
Distributed Sketching Methods for Privacy Preserving Regression—0
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty—0
Distributionally Robust Model Predictive Control with Total Variation Distance—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified