TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis

Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models

LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning

VisionCreator: A Native Visual-Generation Agentic Model with Understanding, Thinking, Planning and Creation

Learning by Neighbor-Aware Semantics, Deciding by Open-form Flows: Towards Robust Zero-Shot Skeleton Action Recognition

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting

Mesh-Pro: Asynchronous Advantage-guided Ranking Preference Optimization for Artist-style Quadrilateral Mesh Generation

UNICBench: UNIfied Counting Benchmark for MLLM

Blockchain Infrastructure for Intelligent Cyber-Physical-Social Systems: Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI

KVDrive: A Holistic Multi-Tier KV Cache Management System for Long-Context LLM Inference

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence

Director: Accelerating Distributed MoE Serving via Online Proactive Expert Placement

Efficient Multimodal Serving via Module Multiplexing

ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping

WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models

Predicting the Future by Retrieving the Past

Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning

ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination

DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning

HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models

D²MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM Serving

BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation

InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis

IRASim: A Fine-Grained World Model for Robot Manipulation

VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting

Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching

Pistis: A Decentralized Knowledge Graph Platform Enabling Ownership-Preserving SPARQL Querying

TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning

On Securing Data Privacy in Federated Learning Using Noise-assisted Aggregated Multi-Key Homomorphic Encryption

Boosting Mesh Generation with Coordinates Merging

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition

RORem: Training a Robust Object Remover with Human-in-the-Loop

LANA: Lightweight AI-driven High-Fidelity Voice Services over 6G Narrowband Non-Terrestrial Networks

Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management

Causally Motivated Sycophancy Mitigation for Large Language Models

Durable Quantization Conditioned Misalignment Attack on Large Language Models

Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning

Privacy-Aware Federated Fine-Tuning of Large Pretrained Models With Just Forward Propagation

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement

Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing

Cross-modal Representation Flattening for Multi-modal Domain Generalization

QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model

Detached and Interactive Multimodal Learning

Matching Gains with Pays: Effective and Fair Learning in Multi-Agent Public Goods Dilemmas

Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

VeriDKG: A Verifiable SPARQL Query Engine for Decentralized Knowledge Graphs

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

DNN Partitioning and Assignment for Distributed Inference in SGX Empowered Edge Cloud

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

C²KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning

Online Data Trading for Cloud-Edge Collaboration Architecture

OTAS: An Elastic Transformer Serving System via Token Adaptation

Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression

Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge

DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions

GradFilt: Class-wise Targeted Data Reconstruction from Gradients in Federated Learning

Poisoning Attack on Federated Knowledge Graph Embedding

Posterior Probability-based Label Recovery Attack in Federated Learning

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients

Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation

SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models

On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks

ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning

Towards Test-Time Refusals via Concept Negation

LHNet: A Low-cost Hybrid Network for Single Image Dehazing

Low-cost Network Measurement Through Intelligent In-band Network Telemetry Orchestration

Wait for Fresh Data? Digital Twin Empowered IoT Services in Edge Computing

GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism

RingSFL: An Adaptive Federated Learning System for Heterogeneous Clients

Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware

Online Federated Learning for Air-Ground Edge Intelligence

Towards Unbiased Training in Federated Open-world Semi-supervised Learning

Anchor Sampling for Federated Learning with Partial Client Participation

TradeFL: A Trading Mechanism for Cross-Silo Federated Learning

Development of Deep Learning Algorithms for Automated Scoliosis and Abnormal Posture Screening Using 2D Back Image

Optimizing Average AoI with Directional Charging for Wireless-Powered Network Edge

(ML)² P-Encoder: On Exploration of Channel-class Correlation for Multi-label Zero-shot Learning

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models

PMR: Prototypical Modal Rebalance for Multimodal Learning

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning

pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning

Latency-Optimal Pyramid-based Joint Communication and Computation Scheduling for Distributed Edge Computing

PROPHET: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering

MGIA: Mutual Gradient Inversion Attack In Multi-modal Federated Learning

PASS: Patch Automatic Skip Scheme for Efficient Real-time Video Perception on Edge Devices

Graph Knows Unknowns: Reformulate Zero-shot Learning as Sample-level Graph Recognition

CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption

Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning

Fast Secure Aggregation for Privacy-Preserving Federated Learning

Computation Offloading and Energy Harvesting Schemes for Sum Rate Maximization in SAG Networks

2D Photogrammetry Image of Adolescent Idiopathic Scoliosis Screening Using Deep Learning

Transformer-Based Scalable Multi-Agent Reinforcement Learning for Joint Resource Optimization in Cloud-Edge-End Video Streaming Systems

Energy-Efficient Over-the-Air Computation for Federated Generative Model Fine-Tuning in Unmanned Vehicle-Assisted Disaster Relief

Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey

Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches

ERA: A QoE-Aware Collaborative Inference Algorithm for NOMA-based Edge Intelligence

Attribute knowledge inheritance and evolution for generalized zero-shot learning

Ultrasound Image Multi-Instance Learning with Global-Neighbor Awareness and Adaptive Bilinear Pooling for HT Recognition

CRL-MM: Context-Aware Relational Learning and Multidimensional Matching for Few-Shot Knowledge Graph Completion

Trident: A Secure Framework for Flexible Artificial Intelligence Model Lifecycle Management in Public Clouds

Scaling Blockchain via Dynamic Sharding

Epass: Efficient and Privacy-Preserving Asynchronous Payment on Blockchain

AFedLF: Adaptive Layer Freezing of Foundation Models in Heterogeneous Federated Learning

MycoStore: A Layer-Sharing Neural Network Model Repository for 6G Edge Intelligence

MCFL: Multimodal Collaborative Fusion Learning for Hashimoto's Thyroiditis Recognition

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

STAR++: Region-aware Conditional Semantics via Interpretable Side Information for Zero-Shot Skeleton Action Recognition

A Joint Dynamic Partial Offloading and Real-Time Scheduling Approach for LEO Satellite-Ground Networks

ShardCutter: A Blockchain Sharding Protocol Achieving Transaction Workload Balance across State Shards

Fed-GTopK: Expediting In-Network Federated Learning by Transmitting Global Top Model Updates

STAR-RIS-Assisted Covert Communications in RSMA Networks: A Quantum Reinforcement Learning Approach

Optimizing Prompts with MLLM for Multimodal Product Style Recognition in Industry 5.0

PODS: Efficient and Secure Identity-based Hierarchical Data Processing Control in Mobile Cloud Storage

Unlocking the Potential of Asynchronous Federated Learning in Non-IID Edge Environments

ToFe: Lagged Token Freezing and Reusing for Efficient Vision Transformer Inference

Mixture of Experts-Enabled Parallel Scheduling and Processing for Vehicular Generative AI Services

Communication-Efficient Sparsely-Activated Model Training via Sequence Migration and Token Condensation

CODP: Improving Differentially Private Federated Learning by Cascading and Offsetting Noises between Iterations

Joint UAV Location and Training Optimization for Air-ground Integrated Online Federated Learning

Reliability-Aware Hybrid SFC Backup and Deployment in Edge Computing

JCSRC: Joint Client Selection and Resource Configuration for Energy-Efficient Multi-Task Federated Learning

Metaverse oriented User Preference Recommendation Systems Based on DSD-transformer

Advancing Climate Science Data Efficiency by Dual-stage Extreme Compression with an Efficient VAEformer

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey

A Survey on Off-chain Networks: Frameworks, Technologies, Solutions and Challenges

Adaptive Incentivize for Federated Learning with Cloud-Edge Collaboration under Multi-level Information Sharing

SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection

DeepZoning: Re-accelerate CNN Inference with Zoning Graph for Heterogeneous Edge Cluster

A Survey on Trustworthy Edge Intelligence: From Security and Reliability to Transparency and Sustainability

Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning

Advanced Product Personalization in the Blockchain-enabled Metaverse: A Diffusion Model for Automatic Style Generation

DECC: Delay-Aware Edge-Cloud Collaboration for Accelerating DNN Inference

Social Group Oriented Recommendation Systems in Wireless Edge-Empowered Metaverse

Feature Correlation-guided Knowledge Transfer for Federated Self-supervised Learning

Efficient Online Computing Offloading for Budget-Constrained Cloud-Edge Collaborative Video Streaming Systems

A Comprehensive Survey on Communication-Efficient Federated Learning in Mobile Edge Environments

6G Communication New Paradigm: The Integration of Unmanned Aerial Vehicles and Intelligent Reflecting Surfaces

Joint Data Retransmission and Client Selection Optimization for Error-Tolerant Federated Learning in UAV Networks

Air-ground Integrated Online Federated Learning under Unreliable Communication

Orchestrating Joint Offloading and Scheduling for Low-Latency Edge SLAM

Average AoI Minimization with Directional Charging for Wireless-Powered Network Edge

Energy-Efficient Over-the-Air Computation for Federated Generative Model Fine-Tuning in Unmanned Vehicle-Assisted Disaster Relief

Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution

ExpertDRL: Request Dispatching and Instance Configuration for Serverless Edge Inference with Foundation Models

BrokerChain: A Blockchain Sharding Protocol by Exploiting Broker Accounts

Graph Attentional Based Agglomerative Cluster for UAV Swarm Networks

SecPQ: Secure Prediction Queries on Encrypted Outsourced Databases

Quality of Experience and Reliability-Aware Task Offloading and Scheduling for Multi-User Mobile-Edge Computing Systems

Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence

Efficient Missing Key Tag Identification in Large-scale RFID Systems: An Iterative Verification and Selection Method

Multimodal Dual-embedding Networks for Malware Open-set Recognition

FedQClip: Accelerating Federated Learning via Quantized Clipped SGD

Adaptive Incentive and Resource Allocation for Blockchain-Supported Edge Video Streaming Systems: A Cooperative Learning Approach

Distributionally Robust Optimization of On-Orbit Resource Scheduling for Remote Sensing in Space-Air-Ground Integrated 6G Networks

Structure-Adaptive and Power-Aware Broadcast Scheduling for Multihop Wireless-Powered IoT Networks

Collaborative Neural Architecture Search for Personalized Federated Learning

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning

ASDroid: Resisting Evolving Android Malware with API Clusters Derived from Source Code

Explore and Cure: Unveiling Sample Effectiveness with Context-Aware Federated Prompt Tuning

AoI-Aware Service Provisioning in Edge Computing for Digital Twin Network Slicing Requests

Enabling Foundation Models: A Distributed Collaboration Framework Based on Graph Federated Learning

Time-Sensitive Scheduling Mechanism based on End-to-End Collaborative Latency Tolerance for Low-Earth-Orbit Satellite Networks

In-network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things

Rethinking Personalized Client Collaboration in Federated Learning

All-Sky Autonomous Computing in UAV Swarm

Fast-Convergent Wireless Federated Learning: A Voting Based Topk Model Compression Approach

High Efficiency Inference Accelerating Algorithm for NOMA-based Edge Intelligence

SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning

Human Cognition Modeling for the Metaverse-oriented Design System

A Survey on Security of UAV Swarm Networks: Attacks and Countermeasures

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing

Joint Task Offloading and Content Caching for NOMA-Aided Cloud-Edge-Terminal Cooperation Networks

Generative AI-enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception

Non-Clairvoyant Scheduling of Distributed Machine Learning with Inter-job and Intra-job Parallelism on Heterogeneous GPUs

GAI-IoV: Bridging Generative AI and Vehicular Networks for Ubiquitous Edge Intelligence

Achieving Efficient and Privacy-Preserving Location-Based Task Recommendation in Spatial Crowdsourcing

Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources

Group Task Recommendation in Mobile Crowdsensing: An Attention-based Neural Collaborative Approach

Chiron: A Robustness-aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning

Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit

An Optimized Sparse Response Mechanism for Differentially Private Federated Learning

Dynamic Network Slice for Bursty Edge Traffic

FutureDID: A Fully Decentralized Identity System with Multi-Party Verification

AoI-Aware, Digital Twin-Empowered IoT Query Services in Mobile Edge Computing

Peak AoI Minimization with Directional Charging for Data Collection at Wireless-Powered Network Edge

NANO: Cryptographic Enforcement of Readability and Editability Governance in Blockchain Databases

VSpatial: Enabling Private and Verifiable Spatial Keyword-based Positioning in 6G-oriented IoT

Fall-attention: An Attention-based Fall Detection Method for Adjoint Activities

Towards Real-Time Inference Offloading with Distributed Edge Computing: the Framework and Algorithms

Intelligence-Endogenous Management Platform for Computing and Network Convergence

Mobility-Aware Utility Maximization in Digital Twin-Enabled Serverless Edge Computing