IEEE22d
Faster Convergence on Heterogeneous Federated Edge Learning: An Adaptive Clustered Data Sharing Approach
Abstract: Federated Edge Learning (FEL) emerges as a pioneering distributed machine ... To address these statistical imbalances, we introduce a clustered data sharing framework, mitigating data ...
IEEE24d
IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving
To address this gap, we present IntNet, a novel MARL framework that enhances safety by incorporating the transmission of vehicle intent and adaptive communication scheduling into a unified end-to-end ...
Retail Bulletin25d
Primark unveils new adaptive clothing collection
Primark has unveiled its new adaptive clothing collection that has been created in partnership with adaptive fashion designer and disability advocate, Victoria Jenkins. The move follows last year’s ...
marktechpost26d
AutoCBT: An Adaptive Multi-Agent Framework for Enhanced Automated Cognitive Behavioral Therapy
Recent advancements in AI have introduced frameworks like CBT-LLM, which employs prompt-based learning, and CoCoA ... an autonomous multi-agent framework designed for CBT in single-turn psychological ...
marktechpost28d
Stanford Researchers Introduce BIOMEDICA: A Scalable AI Framework for Advancing Biomedical Vision-Language Models with Large-Scale Multimodal Datasets
In conclusion, BIOMEDICA is a comprehensive framework that transforms the PubMed Central Open Access (PMC-OA) subset into the largest deep-learning-ready dataset, featuring 24 million image-caption ...