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 4551–4575 of 4891 papers

TitleStatusHype
Federated Learning for Coronary Artery Plaque Detection in Atherosclerosis Using IVUS Imaging: A Multi-Hospital Collaboration—0
Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
Federated Learning for Short-term Residential Load Forecasting—0
Federated Learning for Sparse Principal Component Analysis—0
Federated Learning with Relative Fairness—0
Federated Smoothing ADMM for Localization—0
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework—0
FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization—0
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation—0
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation—0
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications—0
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition—0
Few-Shot Data-Driven Algorithms for Low Rank Approximation—0
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs—0
Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning—0
Finding Statistically Significant Interactions between Continuous Features—0
Fingerprint Image-Quality Estimation and its Application to Multialgorithm Verification—0
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data—0
Fixed Inducing Points Online Bayesian Calibration for Computer Models with an Application to a Scale-Resolving CFD Simulation—0
Fixed Point Algorithm Based on Quasi-Newton Method for Convex Minimization Problem with Application to Image Deblurring—0
FLAME: Flexible LLM-Assisted Moderation Engine—0
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified