• FedAF: Improving Federated Learning for Heterogeneous Data - May 05, 2024

• Enhancing Privacy in Face Recognition Systems with Federated Learning - May 03, 2024

• Improving One-Shot Federated Learning with Co-Boosting - May 03, 2024

• FLEX: Advancing Federated Learning Research with a Versatile Framework - April 20, 2024

• PlateSegFL: Enhancing License Plate Detection with Privacy-Preserving Federated Learning - April 10, 2024

• Improving SecureBoost: Balancing Performance, Efficiency, and Privacy in Federated Learning - April 07, 2024

• Enhancing Federated Learning Security: A Consensus-Based Approach to Model Update Validation - March 06, 2024

• FRECA: A Fair, Robust, and Efficient Method for Evaluating Client Contributions in Federated Learning - February 06, 2024

• Learn2pFed: Adaptive Partial Parameter Collaboration in Personalized Federated Learning - January 16, 2024

• AdaFed: Enhancing Fairness in Federated Learning via Adaptive Common Descent Direction - January 10, 2024

• Adaptive Noise Injection in Federated Learning: Balancing Privacy and Model Accuracy - January 05, 2024

• TinySAM: Advancements in Efficient Object Segmentation - December 21, 2023

• Advancements in Oriented Object Detection: The PointOBB Framework - December 12, 2023

• EfficientSAM: Optimized Image Segmentation via Masked Image Pretraining - December 03, 2023

• Contrastive Chain-of-Thought Prompting: Enhancing Language Model Reasoning - November 25, 2023

• FED3R: Improving Federated Learning with Ridge Regression - November 15, 2023

• Simplifying Transformer Blocks: A Study Review - November 03, 2023

• YOLOR-Based Multi-Task Learning: A Comprehensive Study - October 20, 2023

• HyperMask: Adaptive Hypernetworks for Continual Learning - October 03, 2023

• PDFTriage: A New Framework for Structured Document Question Answering - September 17, 2023

• Bridging Symbols and Neurons: Neurosymbolic Reinforcement Learning and Planning Explained - September 03, 2023

• Understanding Approximate and Weighted Data Reconstruction Attacks in Federated Learning - August 28, 2023

• Key-Locked Rank One Editing: Transforming Text-to-Image Personalization - August 15, 2023

• Parsing EPUB and PDF Documents with Langchain API - August 07, 2023

• FastSAM: Real-Time High-Performance Segmentation - July 09, 2023

• Zero-Shot and Few-Shot Object Detection: Advancements and Implications - June 18, 2023

• Enhancing Language Models with Fine-Grained Reinforcement Learning from Human Feedback - June 10, 2023

• Gorilla: Advancing Large Language Models for API Call Generation - May 30, 2023

• Dropout Regularization Mitigates Double Descent Phenomenon - May 28, 2023

• QLORA: Efficient Finetuning of Quantized Language Models - May 26, 2023

• Optimizing Vision Transformers: New Approach from DeepMind - May 23, 2023

• YOLO NAS: Outperforming Other YOLO Models in Object Detection - May 05, 2023

• CuPy: A Comprehensive Guide - GPU Acceleration in Python - April 30, 2023

• Building a Decision Tree From Scratch: A Step-by-Step Tutorial - April 25, 2023

• Automated Time Series Clustering Using Fisher’s Algorithm - April 18, 2023

• Applying Visualization Methods to Genomic Data - April 11, 2023

• Deciphering Image Classification Through Non-negative Matrix Factorization - April 02, 2023

• Evaluating the Quality of Document Embeddings - March 26, 2023

• Comparing Reinforcement Learning Algorithms - March 20, 2023

• Project Highlight: Multi-Agent System - March 12, 2023

• Mixture Models for Common Image Data Analysis - March 09, 2023

• Application of Ensemble Methods in Financial Fraud Detection - March 01, 2023

• Enhancing Feature Extraction: Convolutional Autoencoders and Clustering Methods - March 01, 2023

• Twitter Sentiment Analysis with a CNN - February 22, 2023

• Exploring Twitter Sentiment Analysis - February 18, 2023

• Introducing the Mini-Project: Binero (Also Known As Takuzu) - February 12, 2023

• Exploring Cereal Nutrition with R and Statistics - February 05, 2023