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Distributed Computing

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Showing 76–100 of 379 papers

TitleStatusHype
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning—0
Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems—0
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
Distributed Memory Approximate Message Passing—0
Optimization of breeding program design through stochastic simulation with evolutionary algorithms—0
Correlations Are Ruining Your Gradient DescentCode0
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding—0
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
Sparse L^1-Autoencoders for Scientific Data Compression—0
Logical Characterizations of Recurrent Graph Neural Networks with Reals and Floats—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
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques—0
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