• THOR: A Generic Energy Estimation Approach for On-Device Training
• Energy-efficient GPU SM allocation
• OFCnetLLM: Large Language Model for Network Monitoring and Alertness
• Carbon Friendly Federated Learning Framework for Optimized Distributed Storage Systems
• LLMs Performance Evaluation: A Case Study in Climate Change Statements
• A Case Study of Environmental Footprints for Generative AI Inference : Cloud versus Edge
• MALLM: Multi-Agent Decision-Making with LLMs for Multi-User Edge-Sensor Environments
• Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence
• Learning to Site: A Multi-objective Optimization of Rooftop Solar Installations using Evolutionary Neural Networks
• Rethinking Pruning for Vision-Language Models: Strategies for Effective Sparsity
• Enhancing Coastal Sea Level Predictions: A Hybrid Approach Combining TimeGAN-Augmented Data, and CNN-GRU Models
• On Scalable Multi-flow and Multi-channel Traffic Steering through Hybrid Learning
• An LLM-based Agentic Framework for Accessible Network Control
• Online Quickest Change Detection for Multiple Gaussian Sequences Using Stochastic Band