Exploring the Structural Property of the Optimal Entanglement Policy for Quantum Switch
Bin Luo, Xiaojun Lin, John C. S. Lui
INFOCOM 2025 Papers
IEEE International Conference on Computer Communications
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272papers
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TitleTypeTopic
Optimal and Approximate Parallelism-Based Computation Offloading Algorithms for Real-Time Multimodal Learning at the Edge
Quan Chen, Ming Yi, Jing Li, Ning Li, Hong Gao, zhipeng cai
SatPipe: Deterministic TCP Adaptation for Highly Dynamic LEO Satellite Networks
Ding Zhao, Xinyu Zhang, Myungjin Lee
Espresso: Cost-Efficient Large Model Training by Exploiting GPU Heterogeneity in the Cloud
Qiannan Zhou, Fei Xu, Lingxuan Weng, Ruixing Li, Xudong Wu, Li Chen, Zhi Zhou, Fangming Liu
FD-Filter: A Compact Data Structure for Fine-Grained Intra-Flow Packet Delay Monitoring
Jintao He, Jie Gui, Tian Lv, Jiaqi Zhu, Qun Huang
ContribChain: A Stress-Balanced Blockchain Sharding Protocol with Node Contribution Awareness
Xinpeng Huang, Wanqing Jie, Shiwen Zhang, Haofu Yang, Wangjie Qiu, Qinnan Zhang, Huawei Huang, Zehui Xiong, Shaoting Tang, Hongwei Zheng, Zhiming Zheng
Commercial RFIDs as Reconfigurable Intelligent Surfaces
Jingyu Tong, Xiaopeng Zhao, Zhicheng Wang, Donghui Dai, Zhenlin An, Lei Yang
Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees
Anh-Khoa Dang, Hicham Khalife, Mathias Sintorn, Stéphane Rovedakis, Stefano Secci
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In this paper, we model carrier shutdown in multi-carrier mobile networks as a deep reinforcement learning problem. Our model takes energy-saving actions by turning off carriers and reallocating their users while in addition to maintaining connectivity guarantees a novel user experience metric. Leveraging real and recent datasets, we train and evaluate our model over realistic network scenarios. Our results show more than 15% energy saving with the fulfillment of the user experience constraints, outperforming currently deployed solutions and researched approaches in the literature by almost 50%. More interestingly our approach exhibits generalization properties, a very promising characteristic for its adoption in real mobile networks deployment.
Learning Best Paths in Quantum Networks
Xuchuang Wang, Maoli Liu, Xutong Liu, Zhuohua Li, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
Which way to go? Inferring Fine-Grained AS Paths with PathRadar
Zitong Jin, Xingang Shi, Qiang Ma, Letong Sun, Zhiliang Wang, Xia Yin, Jianping Wu
AoI-Aware Federated Unlearning for Streaming Data with Online Client Selection and Pricing
Yue Cui, Ningning Ding, Man Hon Cheung
Weir: Delay-based RNIC Cache Control Software Middleware for Scalable RDMA Networks
Yongchen Pan, Jiao Zhang, Yuxuan Hu, Zirui Wan, Baohong Lin, Junliang Wang, Huimin Luo
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
Shu Hong, Xiaojun Lin, Lingjie Duan
Leveled Product Codes for Optimal Block Repairs in Geo-distributed Storage Systems
Si Wu, Guantian Lin, Patrick P. C. Lee, Yinlong Xu
Optimizing Distributed Deployment of Mixture-of-Experts Model Inference in Serverless Computing
Mengfan Liu, Wei Wang, Chuan Wu
BrokerAS: Towards Fault-tolerant Atomic Cross-chain Swaps
Gaowei Shi, Xiulong Liu, Huan Wang, Yuhan Li, Hao Xu, Liyuan Ma, Keqiu Li
Sparse Recovery Transmitter Detection
Blessing Okoro, Maxwell McNeil, Kavya Meka, Karyn Doke, Petko Bogdanov, Mariya Zheleva
CoCaR: Enabling Efficient Dynamic DNN-Based Model Caching and Request Routing in MEC
Shuting Qiu, Fang Dong, Siyu Tan, Dian Shen, Ruiting Zhou, Qilin Fan
CGFE: Efficient Range Encoding for TCAMs
Jérôme Graf, Vitalii Demianiuk, Pavel Chuprikov, Feiran Yang, Sergey I. Nikolenko, Patrick Eugster
Distributed On-Orbit Sparse Coding for Efficient Space Situational Awareness Image Transmission
Yutong Liu, Haiming Jin, Yinjie Wang Yao, Yunxiang Chen, Yimin Zhao, Linghe Kong, Rui Li, Xiaoyang Liu, Guihai Chen