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Distributed Computing

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Showing 51–100 of 379 papers

TitleStatusHype
Distributed quasi-Newton robust estimation under differential privacy—0
Heterogeneity: An Open Challenge for Federated On-board Machine Learning—0
Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural RepresentationCode0
Binary Bleed: Fast Distributed and Parallel Method for Automatic Model SelectionCode1
Distributed Memory Approximate Message Passing—0
Optimization of breeding program design through stochastic simulation with evolutionary algorithms—0
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding—0
Correlations Are Ruining Your Gradient DescentCode0
Distributed computing for physics-based data-driven reduced modeling at scale: Application to a rotating detonation rocket engineCode0
DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset—0
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level OptimizationCode0
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems—0
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework—0
Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats—0
Sparse L^1-Autoencoders for Scientific Data Compression—0
Privacy-aware Berrut Approximated Coded Computing for Federated Learning—0
FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data—0
Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized ExchangesCode0
Securing O-RAN Open Interfaces—0
The intelligent prediction and assessment of financial information risk in the cloud computing model—0
Going Forward-Forward in Distributed Deep Learning—0
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning—0
Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning—0
PeersimGym: An Environment for Solving the Task Offloading Problem with Reinforcement LearningCode1
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques—0
MGIC: A Multi-Label Gradient Inversion Attack based on Canny Edge Detection on Federated Learning—0
Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks—0
Multiple Access in the Era of Distributed Computing and Edge Intelligence—0
Consensus learning: A novel decentralised ensemble learning paradigm—0
Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning ApproachCode0
Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case—0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
A Generalization of Arrow's Impossibility Theorem Through Combinatorial Topology—0
Programming Distributed Collective Processes in the eXchange Calculus—0
Distributed Solvers for Network Linear Equations with Scalarized Compression—0
Federated Analytics for 6G Networks: Applications, Challenges, and Opportunities—0
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration—0
Scalable Agent-Based Modeling for Complex Financial Market SimulationsCode1
Privacy-preserving quantum federated learning via gradient hiding—0
FlexModel: A Framework for Interpretability of Distributed Large Language ModelsCode1
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning—0
Learning-driven Zero Trust in Distributed Computing Continuum Systems—0
Non-Sequential Ensemble Kalman Filtering using Distributed Arrays—0
Active Inference on the Edge: A Design Study—0
Simplicial Models for the Epistemic Logic of Faulty Agents—0
Flood and Echo Net: Algorithmically Aligned GNNs that Generalize—0
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems—0
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingCode1
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace TrainingCode1
Data-Juicer: A One-Stop Data Processing System for Large Language ModelsCode5
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