Federated Learning

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

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

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

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

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

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

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

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

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

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

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)

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

Federated learning is a machine learning technique in which an algorithm is trained across numerous decentralized edge devices or servers, keeping local data samples...

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

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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...

Finally, the Wait is Over: Meta Unveils Llama 3, Pioneering a New Era in...

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Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just...

TrueFoundry Releases Cognita: An Open-Source RAG Framework for Building Modular and Production-Ready Applications

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The field of artificial intelligence is rapidly evolving, and taking a prototype to production stage can be quite challenging. However, TrueFoundry has recently introduced a new...

Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

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In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This compact,...

WizardLM-2: An Open-Source AI Model that Claims to Outperform GPT-4 in the MT-Bench Benchmark

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A team of AI researchers has introduced a new series of open-source large language models named WizardLM-2. This development is a significant breakthrough in...

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