3DGStreaming: Spatial-Heterogeneity-Aware 3-D Gaussian Splatting Compression and Streaming

Article

An Efficient On-Device Federated Learning System Through the Interplay of Client Selection and Batch Size With Watermarked Data

Article

Bayesian Inference-Aided Large Language Model Agents in Infinitely Repeated Games: A Dynamic Network View

Article

Carbon-Aware Scheduling of Thermostatically Controlled Loads: A Bilevel DRCC Approach

Article

Efficient Path Selection Design for Large Scale LEO Satellite Constellations Using Graph Embedding-Based Reinforcement Learning

Article

Gemini+: Enhancing Real-Time Video Analytics with Dual-Image FPGAs

Article

LVMScissor: Split and Schedule Large Vision Model Inference on Mobile Edges via Salp Swarm Algorithm

Article

MetaCloze: a schema-guided automated building metadata model generation system via information extraction

Article

Spatial-Temporal Embodied Carbon Models With Dual Carbon Attribution for Embodied Carbon Accounting of Computer Systems

Article

Spread+: Scalable Model Aggregation in Federated Learning With Non-IID Data

Article

Toward Optimal Broadcast Mode in Offline Finding Network

Article

Towards Fair and Scalable Trial Assignment in Federated Bandits: A Shapley Value Approach

Article

Unimodal Training-Multimodal Prediction: Cross-Modal Federated Learning With Hierarchical Aggregation

Article

Zero-Trust Based Robust Federated Learning Against Betrayal Behaviors

Article

Energy-efficient LLM Training in GPU datacenters with Immersion Cooling Systems

Conference paper

LotusFA: A Federated Analytics System for Federated Learning of Watermarked Data

Conference paper

SRBF-Gaussian: Streaming-Optimized 3D Gaussian Splatting

Conference paper

StoreLLM: Energy Efficient Large Language Model Inference with Permanently Pre-stored Attention Matrices

Conference paper

VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution

Conference paper

Weather Foundation Model Enhanced Decentralized Photovoltaic Power Forecasting Through Spatio-temporal Knowledge Distillation

Conference paper

When Zero-Trust Meets Federated Learning

Conference paper

A cluster-based appliance-level-of-use demand response program design

Article

An optimal solutions-guided deep reinforcement learning approach for online energy storage control

Article

DSJA: Distributed Server-Driven Joint Route Scheduling and Streaming Adaptation for Multi-Party Realtime Video Streaming

Article

Federated HD Map Updating Through Overlapping Coalition Formation Game

Article

FewVV: Few-Shot Adaptive Bitrate Volumetric Video Streaming With Prompted Online Adaptation

Article

Joint Server Selection and Handover Design for Satellite-Based Federated Learning Using Mean-Field Evolutionary Approach

Article

Net-Zero Scheduling of Multi-Energy Building Energy Systems: A Learning-Based Robust Optimization Approach with Statistical Guarantees

Article

TrimStream: Adaptive Realtime Video Streaming Through Intelligent Frame Retrospection in Adverse Network Conditions

Article

VSAS: Decision Transformer-Based On-Demand Volumetric Video Streaming With Passive Frame Dropping

Article

Digital Twin for Federated Analytics Applications

Book chapter

AugPlug: An Automated Data Augmentation Model to Enhance Online Building Load Forecasting

Conference paper

Demo Abstract: BuildProg: Program Generation for Testing ML-based Building Load Forecasting models via LLM and Prompt Engineering

Conference paper

Demo Abstract: CarbonReveal: Embodied Carbon Accounting with Retrieval-Augmented LLM for Computer Systems

Conference paper

Federated Analytics-Empowered Frequent Pattern Mining for Decentralized Web 3.0 Applications

Conference paper

Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data

Conference paper

Poster Abstract: Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning

Conference paper

Towards Photovoltaic System Operation by Data-driven Models: System Deployment and New Insights

Conference paper

An Edge-Side Real-Time Video Analytics System With Dual Computing Resource Control

Article

Distributionally Robust Federated Learning for Network Traffic Classification With Noisy Labels

Article

DNN Surgery: Accelerating DNN Inference on the Edge Through Layer Partitioning

Article

Federated Analytics Informed Distributed Industrial IoT Learning with Non-IID Data

Article

Federated Shift-Invariant Dictionary Learning Enabled Distributed User Profiling

Article

Graph neural network-based spatio-temporal indoor environment prediction and optimal control for central air-conditioning systems

Article

Large-scale comparison and demonstration of continual learning for adaptive data-driven building energy prediction

Article

Secure Trajectory Publication in Untrusted Environments: A Federated Analytics Approach

Article

Pagoda: Privacy Protection for Volumetric Video Streaming through Poisson Diffusion Model

Conference paper

SJA: Server-driven Joint Adaptation of Loss and Bitrate for Multi-Party Realtime Video Streaming

Conference paper