Federated Learning

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...

Microsoft AI Team Introduces “Federated Learning Utilities and Tools for Experimentation” (FLUTE): A High-Performance Open-Source Platform For Federated Learning Research And Offline Simulations

AI Paper Summary
This Article Is Based On The Research Paper 'FLUTE: A SCALABLE, EXTENSIBLE FRAMEWORK FOR HIGH-PERFORMANCE FEDERATED LEARNING SIMULATIONS'. All Credit For This Research Goes...

Latest Paper From Amazon AI Research Analyzes And Explains The Challenges And Developments in The Field Of Federated Learning

AI Paper Summary
This article summary is based on the research paper from Amazon: 'Federated learning challenges and opportunities: An outlook' All credits for this research goes to...

Researchers from MIT CSAIL Introduce ‘Privid’: an AI Tool, Build on Differential Privacy, to Guarantee Privacy in Video Footage from Surveillance Cameras

AI Paper Summary
This research summary article is based on the paper 'Privid: Practical, Privacy-Preserving Video Analytics Queries' and MIT article 'Security tool guarantees privacy in surveillance...

Being Compatible With Any Programming Language And Machine Learning Framework; Flower Team Releases Flower 0.18 With Cool New Updates For Federated Learning

AI Paper Summary
Flower is an end-to-end federated learning framework that allows for a smoother transition from simulation-based experimental research to system research on many real-world edge...

JAX + Flower For Federated Learning Gives Machine Learning Researchers The Flexibility To Use The Deep Learning Framework For Their Projects

AI Shorts
Google researchers created JAX to conduct NumPy computations on GPUs and TPUs. DeepMind uses it to help and expedite its research, and it is...

Google AI Implements Machine Learning Model That Employs Federated Learning With Differential Privacy Guarantees

AI Paper Summary
Bringing model training to the device extends beyond the usage of local models that make predictions on mobile devices. Federated Learning (FL) allows mobile...

Google’s Latest Machine Learning Research on Using Differential Privacy in Image Classification on a Large Scale

AI Paper Summary
From recommendations to automatic picture classification, machine learning (ML) models are increasingly helpful for increased performance across several consumer products. Despite aggregating massive volumes...

Google Introduces ‘PipelineDP’: A New Differential Privacy Framework For Python Developers To Process Data

AI Shorts
Google unveiled a new milestone. a differential privacy framework, along with OpenMined that lets any Python developer handle data with differential privacy.  The two have been working on...

Introduction To Federated Learning: Enabling The Scaling Of Machine Learning Across Decentralized Data Whilst Preserving Data Privacy

AI Shorts
Large volumes of data are required for training machine learning models. The trained model is run on a cloud server that users can access...

Hierarchical Federated Learning-Based Anomaly Detection Using Digital Twins For Internet of Medical Things (IoMT)

AI Paper Summary
Smart healthcare services can be provided by using Internet of Things (IoT) technologies that monitor the health conditions of patients and their vital body...

Google AI Introduces ‘Federated Reconstruction’ Framework That Enables Scalable Partially Local Federated Learning

AI Paper Summary
Federated learning is a machine learning technique in which an algorithm is trained across numerous decentralized edge devices or servers, keeping local data samples...
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Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High...

Asif Razzaq - 0
The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of hallucinations in large...

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by...

Asif Razzaq - 0
Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace 🤗 for AI...

Asif Razzaq - 0
Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

Asif Razzaq - 0
Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

Adnan Hassan - 0
Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

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