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Distributed Computing
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework
Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures
Centroid Approximation for Byzantine-Tolerant Federated Learning
Accessibility Barriers in Multi-Terabyte Public Datasets: The Gap Between Promise and Practice
BanditWare: A Contextual Bandit-based Framework for Hardware Prediction
Compositional and Equilibrium-Free Conditions for Power System Stability -- Part II: Method and Application
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
Distributed Beamforming Using Decentralized Time Synchronization in a Six-Element Array
Bridging Quantized Artificial Neural Networks and Neuromorphic Hardware
A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
Towards Intelligent Edge Sensing for ISCC Network: Joint Multi-Tier DNN Partitioning and Beamforming Design
Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models
Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices
Tree-Guided $L_1$-Convex Clustering
Speculative End-Turn Detector for Efficient Speech Chatbot Assistant
Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions
Goal-oriented Spectrum Sharing: Trading Edge Inference Power for Data Streaming Performance
G-Boost: Boosting Private SLMs with General LLMs
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments
Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity
Continuous K-Max Bandits
Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
DistrEE: Distributed Early Exit of Deep Neural Network Inference on Edge Devices
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
General Coded Computing in a Probabilistic Straggler Regime
Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing
Vehicular Multi-Tier Distributed Computing with Hybrid THz-RF Transmission in Satellite-Terrestrial Integrated Networks
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