IRNet: INVANETs Performance Prediction Via Spatio-Temporal Graph Attention Networks
Tengwen Zhang; Tao Luo; Shaoyuan Huang; Yuting Li; Xiaofei Wang
Cooperative Trajectory Prediction using IVC and Accuracy-Aware Attention with Inaccurate GPS Data
Jae-Han Lim; Katsuhiro Naito; Donghyuk Tak; Yeon-sup Lim
Assessment of OPC UA PubSub at Scale using TSN Infrastructure and Network Calculus
Filip Rezabek; Max Helm; Nicolas Buchner; Monika N. Smolarska; Benedikt Jaeger; Georg Carle
Proactive Content Caching via Interplay Between Deep Learning and Stochastic Optimization
Yongmun Park; Kyung Tae Lee; Minseok Choi; Yeongjin Kim
A Quantum-Inspired Paradigm for Task Scheduling Optimization in Mobile Edge Computing
Chenfei Gu; Shihao Shen; Cheng Zhang; Chao Qiu; Xiaofei Wang; Dusit Niyato
Joint Job Assignment and Resource Allocation for Multi-Job Wireless Federated Learning
Tan Li; Zeheng Wei; Hai Liu; Zhiyong Lin; Tse-Tin Chan
Enabling Ensemble Reinforcement Learning with ICN in Mobile Edge Computing Environments
Yaodong Huang; Biying Kong; Wenliang Feng; Changkang Mo; Han Liu; Yukun Yuan; Laizhong Cui
Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
Md Ruman Islam; Raja Hasnain Anwar; Spyridon Mastorakis; Muhammad Taqi Raza
HP-ICM: Curiosity-driven Offloading Based on Hypergraph Partitioning
Chengwei Wang; Kang Huang; Chenxuan Hou; Chao Qiu; Xiaofei Wang
CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks
Md Sazedur Rahman; Mohamed Elmahallawy; Sanjay Madria; Samuel Frimpong
C-STM: Circular Spatio-Temporal Modulation for Doubly-Spread Underwater Acoustic Channels
Zhuoran Qi; Dario Pompili
How to Budget Privacy in Federated Learning? A Correlated Equilibrium Perspective
Xiaoying Han; Qin Hu; Xiaohua Xu
TransFiLM: An Efficient And Lightweight Audio Enhancement Network for Low-Cost Wearable Sensors
Shilin Chen; Jianhao Weng; Shicong Hong; Yanbo He; Yongpan Zou; Kaishun Wu
DaMPS: A Deadline-aware Multipath Packet Scheduler for Mobile Application
Zhuoyue Chen; Kechao Cai; Jinbei Zhang; John Chi Shing Lui
ReLAx: Deep Reinforcement Learning Based Resource Allocation for Next-G RANs
Ayman Younis; Chuanneng Sun; Dario Pompili
CTSMA: Cyclic Time Shift Multiple Access for Underwater Acoustic Networks
Zhile Li; Zhuoran Qi; Dario Pompili
FruitSight: A Millimeter Wave Radar Based Approach to Detect Occluded Fruits
Zahra Shiraz; Usman Mahmood Khan; Muhammad Shahzad
Overmind: Fast and Scalable Decentralized Learning Simulation for Mobile Environments
Sangsu Lee; Haoxiang Yu; Xi Zheng; Christine Julien
Privacy-Preserving Face Recognition for Access Control Systems
Sucan Zhang; Jianfei Ma; Mingxuan Zhang; Jingyu Hua
Optimizing UAV-Assisted Data Collection in IoT Sensor Networks using Dual Cluster Head Strategy
Keiwan Soltani; Federico Corò; Sajal K. Das
Efficient Online Learning Algorithms for Joint Path and Beam Selection in Multihop Mmwave Networks
Tianchi Zhao; Chicheng Zhang; Ming Li; Jingcheng Li; Zhiwu Guo
Fresh Caching of Dynamic Contents using Restless Multi-armed Bandits
Ankita Koley; Chandramani Singh
FedLoRa: IoT Spectrum Sensing Through Fast and Energy-Efficient Federated Learning in LoRa Networks
Fabio Busacca; Stefano Mangione; Giovanni Neglia; Ilenia Tinnirello; Sergio Palazzo; Francesco Restuccia
Fault Tolerant Data and Model Parallel Deep Learning in Edge Computing Networks
Tanmoy Sen; Haiying Shen
Elastically Scheduling Multiple DNN Inference Jobs on an Edge for High Efficiency and Accuracy
Tanmoy Sen; Haiying Shen
Sensing Together: Cooperative Task Adaptation and Scheduling for IoT-Nets using Renewable Energy
Elizabeth Liri; K. K. Ramakrishnan; Koushik Kar; Flavio Esposito
Robust Privacy-Preserving Classification for Lensless Images
Sumit Bhattarai; Pramil Paudel; Zhu Li; Bo Luo; Fengjun Li
FairSense: Fairness-Aware Urban Sensing with Submodular Spatio-Temporal Reward Maximization
Tonmoy Dey; Guang Wang
Policy Optimization for Pedestrian Traffic Management by Surrogation of Simulation Models
Fukuharu Tanaka; Tatsuya Amano; Akira Uchiyama; Akihito Hiromori; Yusuke Nakamura; Hirozumi Yamaguchi
Dejavu: Reinforcement Learning-based Cloud Scheduling with Demonstration and Competition
Seonwoo Kim; Yoonsung Nam; Minwoo Park; Hee Won Lee; Seyeon Kim; Sangtae Ha
Cross Layer Optimization and Distributed Reinforcement Learning for Wireless 360° Video Streaming
Anis Elgabli; Mohammed S. Elbamby; Cristina Perfecto; Mounssif Krouka; Mehdi Bennis; Vaneet Aggarwal
VibroFM: Towards Micro Foundation Models for Robust Multimodal IoT Sensing
Tomoyoshi Kimura; Jinyang Li; Tianshi Wang; Yizhuo Chen; Ruijie Wang; Denizhan Kara; Maggie Wigness; Joydeep Bhattacharyya; Mudhakar Srivatsa; Shengzhong Liu; Mani B. Srivastava; Suhas Diggavi; Tarek Abdelzaher
Frequency hopping as diffusion: a new theoretical perspective for Bluetooth packet collision mitigat
Giwon Yang; Hyungjoon Shin; Hyogon Kim
RVTrack: Identity Tracking by RFID-Vision Fusion with Small Training Cost
Haofan Cai; Chen Qian; Anindya Bal
Democratizing the Federation in Federated Learning
Ningxin Su; Baochun Li; Bo Li
On the Predictability of Fine-grained Cellular Network Throughput using Machine Learning Models
Omar Basit; Phuc Dinh; Imran Khan; Z. Jonny Kong; Y. Charlie Hu; Dimitrios Koutsonikolas; Myungjin Lee; Chaoyue Liu
Distributed Energy Optimization for Mobile Networks Using Potential Games
Zhizongkai Wang; Hanfei Wang; Zhongji Wang; Yilin Xiao; Yunzhi Zhao; Xiaowen Li; Xufeng Chen; Lin Gao; Fen Hou; Jianwei Huang
Quick6TiSCH: Accelerating Formation of 6TiSCH Networks with TSCH and RPL
Hongchan Kim; Geon Hee Lee; Juhun Shin; Jeongyeup Paek; Saewoong Bahk
Multi-Path Transmission of Real-Time Remote Sensing Data Via Heterogeneous LEO Inter-Satellite-Links
Binquan Guo; Zehui Xiong; Dusit Niyato; Shiwen Mao; Zhu Han
Real-time Network Intrusion Detection via Importance Sampled Decision Transformers
Hanhan Zhou; Jingdi Chen; Yongsheng Mei; Gina Adam; Vaneet Aggarwal; Nathaniel D. Bastian; Tian Lan
Offline Learning-based Multi-User Delay-Constrained Scheduling
Zhuoran Li; Pihe Hu; Longbo Huang
Spatial-Aware Multi-Task Learning Based Speech Separation
Wei Sun; Mei Wang; Lili Qiu
P²FedJS: Personalized Prompt-based Federated Learning with Jensen-Shannon Divergence
Yuhang Yang; Fei Gao; Yunfeng Zhao; Chao Qiu; Xiaofei Wang
Evolutionary Reinforcement Learning for Multi-objective SFC Deployment
Jialiang Zhao; Ran Wang; Qiang Wu; Jie Hao; Zehui Xiong
Modelling and Comparing Converter Architectures and Energy Harvesting ICs for Battery-Free Systems
Hannah Brunner; Sebastian Scholl; Carlo Alberto Boano; Kay Römer
SkyDummy: Personal Drone-Assisted Dummy Generation Strategies for Preserving Location Privacy
Surya Harshitha Kadali; Sunho Lim; Anisa Bente Newaz; Jinseok Chae; Jangho Lee
Where Care; A Patient Localization System for Nursing Homes
Isabel M Ronan; David Murphy; Nicola Cornally; Mohamad Saab; Sabin Tabirca
Generative-AI(with Custom-Trained Meta's Llama2 LLM), Blockchain, NFT, Federated Learning and PBOM enabled Data Security Architecture for Metaverse on 5G/6G Environment
Eranga Bandara; Sachin Shetty; Peter Foytik
Q2oE: Balancing QoE Fairness and Preference for Video Streaming from Cooperative Edge Servers
Xinwei Huang; Yin Xu; Jinbo Cai; He Sun; Jie Wu; Mingjun Xiao
Multi-Agent Reinforcement Learning based Adaptive Parameter Optimization for Semi-Persistent Schedul
Pengcheng Fan; Xinyu Chen; Jing Zhao; Ning Lu; Ping Wang
iDOL: Incentivized Decentralized Opportunistic Learning
Haoxiang Yu; Hsiao-Yuan Chen; Sangsu Lee; Sriram Vishwanath; Xi Zheng; Christine Julien
SC-JCDRL: A Cloud-Edge Collaboration Framework For Diffusion Model Inference Acceleration
Huiyu Wang; Zhicheng Liu; Xiaofei Wang; Chao Qiu; Cheng Zhang; Wenyu Wang; Qianwen Ye
AdvUSL: Targeted Adversarial Attack against U-shaped Split Learning
Yunxiao He; Chunqiang Hu; Yuwen Pu; Jiahao Chen; Xingwang Li
Joint UPF and Edge Applications Placement and Routing in 5G & Beyond
Endri Goshi; Hasanin Harkous; Shohreh Ahvar; Rastin Pries; Fidan Mehmeti; Wolfgang Kellerer
Impact of Attack Variations and Topology on IoT Intrusion Detection Model Generalizability
Amin Kaveh; Christian Rohner; Andreas Johnsson
Collaborative User Mobility Prediction in Distributed Edge Computing Framework
Sardar Jaffar Ali; Syed Muhammad Raza; Hyunseung Choo
SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches
Kushan Choksi; Hongkai Chen; Karan Joshi; Sukrutha Jade; Shahriar Nirjon; Shan Lin
BC-DCR: Revisiting Data Collection in Robotic Sensor Networks: A Budget-Constrained Traveling Salesm
Soham Patil; Bin Tang; Yutian Chen
Privacy-preserving Crowd Estimation using Multiple Wi-Fi Sensors
Pegah Torkamandi; Ljubica Kärkkäinen; Jörg Ott