Combining Federated Learning with privacy techniques protects sensitive data while training models.
― 5 min read
Cutting edge science explained simply
Combining Federated Learning with privacy techniques protects sensitive data while training models.
― 5 min read
Learn how technology systems communicate and process information effectively.
― 4 min read
Learn how new pruning methods enhance efficiency in deep neural networks without sacrificing accuracy.
― 6 min read
New algorithms improve community detection by addressing connectivity in networks.
― 6 min read
A new algorithm improves task offloading efficiency in mobile edge computing environments.
― 8 min read
Study of how agents reach agreement with limited communication.
― 5 min read
Seer optimizes GPU performance for irregular workloads using smart prediction methods.
― 5 min read
Strategies for effective task distribution among computers in a network.
― 6 min read
A new method enhances consensus in distributed systems amidst noise and faults.
― 5 min read
Examining how memory types impact communication in distributed systems.
― 7 min read
Automated monitoring solutions enhance cloud service efficiency and reliability.
― 5 min read
Research examines FPGA improvements for enhanced market risk analysis efficiency.
― 7 min read
A novel method to find maximal -plexes efficiently in large datasets.
― 7 min read
Learn how multiple computers work together to solve complex problems efficiently.
― 5 min read
Efficient counting solutions for modern applications using approximate methods.
― 5 min read
An overview of approximating triangles in graphs within distributed networks.
― 5 min read
An overview of strong linearizability and its significance in concurrent programming.
― 7 min read
Evaluating state vector and tensor network methods for simulating quantum systems.
― 6 min read
New methods enhance privacy and accuracy in secure computing environments.
― 5 min read
Research shows how power capping GPUs can reduce energy use and temperatures.
― 8 min read
A new framework enhances GNN performance using Processing-In-Memory systems.
― 6 min read
FedUV improves model performance in federated learning on non-IID data.
― 6 min read
A dual method for training and using language models efficiently.
― 6 min read
Decentralized platform aims to ensure genuine user feedback.
― 5 min read
This article discusses a flexible system for processing data efficiently in DRAM.
― 6 min read
An overview of container usage and challenges in multi-cloud setups.
― 6 min read
A new model structure enhances efficiency and maintains accuracy in recommendation systems.
― 6 min read
Strategies for better resource allocation in serverless platforms.
― 4 min read
GSL-LPA enhances community detection in large networks by maintaining connectivity.
― 4 min read
Asyn2F improves asynchronous federated learning for better model training and data privacy.
― 7 min read
A new method uses machine learning to detect errors in MPI programs effectively.
― 7 min read
A new method enhances federated learning efficiency using client update strategies.
― 6 min read
A new system enhances the serving of LLMs, tackling latency and memory issues.
― 6 min read
Examining federated unlearning and its challenges in machine learning privacy.
― 7 min read
A new framework improves real-time analysis of dynamic graphs using persistent memory.
― 8 min read
Addressing challenges in federated learning due to diverse devices and data.
― 6 min read
A look at how model parallelism assists in training large neural networks.
― 8 min read
A novel approach enhances data recovery while addressing privacy concerns in federated learning.
― 5 min read
New parallel RTL simulation methods are speeding up complex hardware design processes.
― 7 min read
A tool for measuring data shuffling performance in stream processing frameworks.
― 7 min read