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Distributed Computing

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Showing 201–250 of 379 papers

TitleStatusHype
Scalable and Hybrid Ensemble-Based Causality Discovery—0
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection—0
Edge-assisted Democratized Learning Towards Federated Analytics—0
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management—0
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models—0
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee—0
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism—0
A Closer Look at Codistillation for Distributed Training—0
On Artificial Life and Emergent Computation in Physical Substrates—0
Large-scale Neural Solvers for Partial Differential EquationsCode1
Communication-efficient distributed eigenspace estimationCode0
Analog Lagrange Coded Computing—0
FedML: A Research Library and Benchmark for Federated Machine LearningCode2
Evaluation of Federated Learning in Phishing Email Detection—0
Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks—0
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models—0
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective—0
Resource Aware Multifidelity Active Learning for Efficient Optimization—0
Robust Multi-Agent Multi-Armed Bandits—0
Accuracy-Efficiency Trade-Offs and Accountability in Distributed ML SystemsCode0
Coded Distributed Computing with Partial Recovery—0
STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge—0
Exact Support Recovery in Federated Regression with One-shot Communication—0
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems—0
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Distributed Dynamic Economic Dispatch using Alternating Direction Method of Multipliers—0
Learning, transferring, and recommending performance knowledge with Monte Carlo tree search and neural networks—0
It is Time for New Perspectives on How to Fight Bloat in GP—0
Communication-Efficient Edge AI Inference Over Wireless Networks—0
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning—0
Adaptive Explainable Neural Networks (AxNNs)—0
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing—0
Leveraging User-Diversity in Energy-Efficient Edge-Facilitated Collaborative Fog Computing—0
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based MethodsCode2
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization—0
Automata for Hyperlanguages—0
Communication-Efficient Distributed SVD via Local Power IterationsCode0
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed SystemsCode1
Distributed Bayesian Matrix Decomposition for Big Data Mining and ClusteringCode0
BLCS: Brain-Like based Distributed Control Security in Cyber Physical Systems—0
Solving Billion-Scale Knapsack Problems—0
A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle—0
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems—0
One-shot Distributed Ridge Regression in High Dimensions—0
Unifying Graph Convolutional Networks as Matrix Factorization—0
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching—0
Communication-Efficient Local Decentralized SGD Methods—0
Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud—0
Resolvable Designs for Speeding up Distributed Computing—0
Constrained Multi-Objective Optimization for Automated Machine Learning—0
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