Federated Learning

Meet GPS-Gaussian: A New Artificial Intelligence Approach for Synthesizing Novel Views of a Character in a Real-Time Manner

AI Shorts
An essential function of multi-view camera systems is novel view synthesis (NVS), which attempts to generate photorealistic images from new perspectives using source photos. The subfields of human NVS have the potential to significantly contribute to...

Enhancing Data Security and Collaboration: AWS Clean Rooms Introduces Machine Learning and Differential Privacy Features

AI Shorts
Amazon Web Services (AWS) has introduced a new update to its secure data-sharing service, Clean Rooms, enhancing its capabilities with cutting-edge machine learning (ML) and differential privacy features. These advancements empower enterprises to collaborate securely, harness...

Google AI and Tel Aviv Researchers Introduce FriendlyCore: A Machine Learning Framework For Computing Differentially Private Aggregations

AI Paper Summary
Data analysis revolves around the central goal of aggregating metrics. The aggregation should be conducted in secret when the data points match personally identifiable...

In A New AI Research, Federated Learning Enables Big Data For Rare Cancer Boundary Detection

AI Paper Summary
The number of primary observations produced by healthcare systems has dramatically increased due to recent technological developments and a shift in patient culture from...

IOM Releases Its Second Synthetic Dataset From Trafficking Victim Case Records Generated With Differential Privacy And AI From Microsoft

AI Shorts
Researchers at Microsoft are committed to researching ways technology may help the world's most marginalized peoples improve their human rights situations. Their expertise spans...

Researchers Developed SmoothNets For Optimizing Convolutional Neural Network (CNN) Architecture Design For Differentially Private Deep Learning

AI Paper Summary
Differential privacy (DP) is used in machine learning to preserve the confidentiality of the information that forms the dataset. The most used algorithm to...

Researchers Analyze the Current Findings on Confidential Computing-Assisted Machine Learning ML Security and Privacy Techniques Along with the Limitations in Existing Trusted Execution Environment...

AI Paper Summary
The evolution of machine learning (ML) offers broader possibilities of use. However, wide applications also increase the risks of large attack surface on ML's...

3 Machine Learning Business Challenges Rooted in Data Sensitivity 

AI Governance
Machine Learning (ML) and, in particular, Deep Learning is drastically changing the way we conduct business as now data can be utilized to guide...

Researchers created a Novel Framework called ‘FedD3’ for Federated Learning in Resource-Constrained Edge Environments via Decentralized Dataset Distillation

AI Paper Summary
For collaborative learning in large-scale distributed systems with a sizable number of networked clients, such as smartphones, connected cars, or edge devices, federated learning...

Researchers At Amazon Propose ‘AdaMix’, An Adaptive Differentially Private Algorithm For Training Deep Neural Network Classifiers Using Both Private And Public Image Data

AI Paper Summary
It is crucial to preserve privacy by restricting the amount of data that may be gathered about each training sample when training a deep...

Stanford AI Researchers Propose ‘FOCUS’: A Foundation Model Which Aims to Achieve Perfect Secrecy For Personal Tasks

AI Paper Summary
Machine learning holds the possibility of assisting people with personal activities. Personal jobs range from well-known activities like subject categorization over personal correspondence and...

Researchers From China Introduce ‘FedPerGNN’: A New Federated Graph Neural Network (GNN) Framework For Both Effective And Privacy-Preserving Personalization

AI Ethics
This Article is written as a summay by Marktechpost Staff based on the paper 'A federated graph neural network framework for privacy-preserving personalization'. All...

Borealis AI Research Introduces fAux:  A New Approach To Test Individual Fairness via Gradient Alignment

AI Shorts
Machine learning models are trained on massive datasets with hundreds of thousands, if not billions, of parameters. However, how these models translate the input...

Federated Learning Framework ‘Flower’ Has Released V.0.19 With A Lot of New Updates

AI Shorts
This Article Is Based On The Research Article 'Flower 0.19 Release'. All Credit For This Research Goes To The Researchers of This Project 👏👏👏 Please...
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