#gradient-aggregation News & Analysis

2 articles tagged with #gradient-aggregation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 16/10

🧠

A Unified Framework for Gradient Aggregation in Multi-Objective Optimization

Researchers present a unified mathematical framework for gradient aggregation in multi-objective optimization (MOO), establishing convergence guarantees to Pareto stationarity. The work reveals that non-conflicting gradient directions within the convex hull satisfy sufficient conditions for convergence, enabling broader algorithmic approaches including a new method called capped MGDA for federated learning applications.

AINeutralarXiv – CS AI · Mar 24/105

🧠

FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning

Researchers introduce FedVG, a new federated learning framework that uses gradient-guided aggregation and global validation sets to improve model performance in distributed training environments. The approach addresses client drift issues in heterogeneous data settings and can be integrated with existing federated learning algorithms.