Carlee Joe-Wong

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 163

Top Venues

CoRR

INFOCOM

IEEE/ACM Trans. Netw.

ICDCS

Publications

Jong-Ik Park, Carlee Joe-Wong
Federated Learning with Flexible Architectures. CoRR (2024)
Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD (2024)
Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi
FedAST: Federated Asynchronous Simultaneous Training. CoRR (2024)
Tomas Fernandez, Yen-Cheng Chang, Jesse R. Codling, Yiwen Dong, Jiale Zhang, Carlee Joe-Wong, Hae Young Noh, Pei Zhang
Poster: Drive-by City Wide Trash Sensing for Neighborhood Sanitation Need. MobiSys (2024)
Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
Distributed Experimental Design Networks. INFOCOM (2024)
Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
Fair Concurrent Training of Multiple Models in Federated Learning. CoRR (2024)
Yi Hu, Jinhang Zuo, Alanis Zhao, Bob Iannucci, Carlee Joe-Wong
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT. CoRR (2024)
Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection. CoRR (2024)
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets. IEEE Trans. Mob. Comput. 23 (7) (2024)
Yen-Cheng Chang, Jesse R. Codling, Yiwen Dong, Jiale Zhang, Jeffrey D. Shulkin, Hugo Latapie, Carlee Joe-Wong, Hae Young Noh, Pei Zhang
Poster Abstract: Listen and Then Sense: Vibration-based Sports Crowd Monitoring by Pre-training with Public Audio Datasets. IPSN (2024)
Jingdi Chen, Tian Lan, Carlee Joe-Wong
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. AAAI (2024)
Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
Distributed Experimental Design Networks. CoRR (2024)
Taejin Kim, Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
Edge-MSL: Split Learning on the Mobile Edge via Multi-Armed Bandits. INFOCOM (2024)
Xiaoxi Zhang, Jinhang Zuo, Zhe Huang, Zhi Zhou, Xu Chen, Carlee Joe-Wong
Learning With Side Information: Elastic Multi-Resource Control for the Open RAN. IEEE J. Sel. Areas Commun. 42 (2) (2024)
Marie Siew, Shikhar Sharma, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek
Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework. IEEE Trans. Serv. Comput. 17 (1) (2024)
Hanqing Yang, Marie Siew, Carlee Joe-Wong
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems. CoRR (2024)
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR (2024)
Taejin Kim, Jiarui Li, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning. CoRR (2023)
Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen
EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning. SECON (2023)
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency. INFOCOM Workshops (2023)
Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. e-Energy (2023)
Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. IEEE/ACM Trans. Netw. 31 (5) (2023)
Marie Siew, Shikhar Sharma, Carlee Joe-Wong
ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations. CISS (2023)
Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN (2023)
Xiaoxi Zhang, Siqi Chen, Yunfan Zhang, Youngbin Im, Maria Gorlatova, Sangtae Ha, Carlee Joe-Wong
Optimal Network Protocol Selection for Competing Flows via Online Learning. IEEE Trans. Mob. Comput. 22 (8) (2023)
Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks. NeurIPS (2023)
Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System. CoRR (2023)
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR (2023)
I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures. IEEE Trans. Netw. Sci. Eng. 10 (4) (2023)
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset. CoRR (2023)
Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. CoRR (2023)
Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui
Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback. INFOCOM (2023)
Harry Jiang, Xiaoxi Zhang, Carlee Joe-Wong
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. WiOpt (2023)
Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew
Cache-Enabled Federated Learning Systems. MobiHoc (2023)
Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu
FedRule: Federated Rule Recommendation System with Graph Neural Networks. IoTDI (2023)
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC (2023)
Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
Correlated Combinatorial Bandits for Online Resource Allocation. SIGMETRICS Perform. Evaluation Rev. 50 (4) (2023)
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning. IWQoS (2023)
Yi Hu, Chaoran Zhang, Edward Andert, Harshul Singh, Aviral Shrivastava, James Laudon, Yanqi Zhou, Bob Iannucci, Carlee Joe-Wong
GiPH: Generalizable Placement Learning for Adaptive Heterogeneous Computing. MLSys (2023)
Shaohui Lin, Xiaoxi Zhang, Yupeng Li, Carlee Joe-Wong, Jingpu Duan, Xu Chen
An Online Control Approach of Collaborative Federated Learning with Constrained Resources. APNet (2023)
Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
Characterizing Internal Evasion Attacks in Federated Learning. AISTATS (2023)
Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong, Mohammad H. Hajiesmaili
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks. CoRR (2023)
Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
MoDEMS: Optimizing Edge Computing Migrations for User Mobility. IEEE J. Sel. Areas Commun. 41 (3) (2023)
Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. CoRR (2023)
Yi Hu, Jinhang Zuo, Bob Iannucci, Carlee Joe-Wong
Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning. SECON (2023)
Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
pFedDef: Characterizing evasion attack transferability in federated learning. Softw. Impacts 15 (2023)
Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. CoRR (2023)
Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking. NeurIPS (2023)
I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
Evaluating the Optimality of Dynamic Coupling Strategies in Interdependent Network Systems. ICC (2023)
Yichen Ruan, Carlee Joe-Wong
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. AAAI (2022)
Marie Siew, Shikhar Sharma, Kun Guo, Chao Xu, Tony Q. S. Quek, Carlee Joe-Wong
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations. CoRR (2022)
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CoRR (2022)
Samarth Gupta, Jinhang Zuo, Carlee Joe-Wong, Gauri Joshi, Osman Yagan
Correlated combinatorial bandits for online resource allocation. MobiHoc (2022)
Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen
Online Competitive Influence Maximization. AISTATS (2022)
Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong
pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning. CoRR (2022)
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. NeurIPS (2022)
Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton
Can we Generalize and Distribute Private Representation Learning? AISTATS (2022)
Guohao Lan, Zida Liu, Yunfan Zhang, Tim Scargill, Jovan Stojkovic, Carlee Joe-Wong, Maria Gorlatova
Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality. ACM Trans. Sens. Networks 18 (1) (2022)
Xiaoxi Zhang, Jianyu Wang, Li-Feng Lee, Tom Yang, Akansha Kalra, Gauri Joshi, Carlee Joe-Wong
Machine Learning on Volatile Instances: Convergence, Runtime, and Cost Tradeoffs. IEEE/ACM Trans. Netw. 30 (1) (2022)
Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta
Faithful Explanations for Deep Graph Models. CoRR (2022)
Harry Jiang, Xiaoxi Zhang, Carlee Joe-Wong
DOLL: Distributed OnLine Learning Using Preemptible Cloud Instances. SIGMETRICS Perform. Evaluation Rev. 50 (2) (2022)
Taejin Kim, Sandesh Dhawaskar Sathyanarayana, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
MoDEMS: Optimizing Edge Computing Migrations for User Mobility. INFOCOM (2022)
I-Cheng Lin, Carlee Joe-Wong, Osman Yagan
Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures. CoRR (2022)
Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CIKM (2022)
Shouxu Lin, Yuhang Yao, Pei Zhang, Hae Young Noh, Carlee Joe-Wong
A neural-based bandit approach to mobile crowdsourcing. HotMobile (2022)
Mohammad Khayatian, Mohammadreza Mehrabian, Edward Andert, Reese Grimsley, Kyle Liang, Yi Hu, Ian McCormack, Carlee Joe-Wong, Jonathan Aldrich, Bob Iannucci, Aviral Shrivastava
Plan B: Design Methodology for Cyber-Physical Systems Robust to Timing Failures. ACM Trans. Cyber Phys. Syst. 6 (3) (2022)
Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. CoRR (2022)
Yuhang Yao, Carlee Joe-Wong
FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks. CoRR (2022)
Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu
FedRule: Federated Rule Recommendation System with Graph Neural Networks. CoRR (2022)
Marie Siew, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek
Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework. CoRR (2022)
Yuhang Yao, Carlee Joe-Wong
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. AAAI (2021)
Yichen Ruan, Carlee Joe-Wong
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating. CoRR (2021)
Pranvera Kortoçi, Abbas Mehrabi, Carlee Joe-Wong, Mario Di Francesco
Incentivizing Opportunistic Data Collection for Time-Sensitive IoT Applications. SECON (2021)
Taejin Kim, Siqi Chen, Youngbin Im, Xiaoxi Zhang, Sangtae Ha, Carlee Joe-Wong
MoDEMS: Optimizing Edge Computing Migrations For User Mobility. IWQoS (2021)
Ataollah Fatahi Baarzi, George Kesidis, Carlee Joe-Wong, Mohammad Shahrad
On Merits and Viability of Multi-Cloud Serverless. SoCC (2021)
Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong
Towards Flexible Device Participation in Federated Learning. AISTATS (2021)
Jinhang Zuo, Carlee Joe-Wong
Combinatorial Multi-armed Bandits for Resource Allocation. CoRR (2021)
Su Wang, Yichen Ruan, Yuwei Tu, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Trans. Netw. 29 (5) (2021)
Jinhang Zuo, Carlee Joe-Wong
Combinatorial Multi-armed Bandits for Resource Allocation. CISS (2021)
Madhumitha Harishankar, Jinhang Zuo, Sriram Venkateswaran Iyer, Patrick Tague, Carlee Joe-Wong
Datanet: Enabling Seamless, Metered and Trusted Internet Connectivity without Subscriptions. ICC Workshops (2021)
Yucai Fan, Yuhang Yao, Carlee Joe-Wong
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. ICDM (2021)
Yucai Fan, Yuhang Yao, Carlee Joe-Wong
GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs. CoRR (2021)
Yichen Ruan, Xiaoxi Zhang, Carlee Joe-Wong
How Valuable Is Your Data? Optimizing Device Recruitment in Federated Learning. WiOpt (2021)
Mung Chiang, Rachid El Azouzi, Lin Gao, Jianwei Huang, Carlee Joe-Wong, Soumya Sen
Guest Editorial: Smart Data Pricing for Next-Generation Networks. IEEE J. Sel. Areas Commun. 38 (4) (2020)
Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
Network-Aware Optimization of Distributed Learning for Fog Computing. CoRR (2020)
Kwang Taik Kim, Carlee Joe-Wong, Mung Chiang
Coded Edge Computing. INFOCOM (2020)
Xiaoxi Zhang, Jianyu Wang, Gauri Joshi, Carlee Joe-Wong
Machine Learning on Volatile Instances. CoRR (2020)
Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong
Network-Aware Optimization of Distributed Learning for Fog Computing. INFOCOM (2020)
Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
Observe Before Play: Multi-Armed Bandit with Pre-Observations. AAAI (2020)
Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee-Wei Tan, Liang Zheng
Economic Viability of a Virtual ISP. IEEE/ACM Trans. Netw. 28 (2) (2020)
Thaha Mohammed, Carlee Joe-Wong, Rohit Babbar, Mario Di Francesco
Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading. INFOCOM (2020)
Zida Liu, Guohao Lan, Jovan Stojkovic, Yunfan Zhang, Carlee Joe-Wong, Maria Gorlatova
CollabAR: Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality. IPSN (2020)
Xuan Chen, Zifan Wang, Yucai Fan, Bonan Jin, Piotr Mardziel, Carlee Joe-Wong, Anupam Datta
Towards Behavior-Level Explanation for Deep Reinforcement Learning. CoRR (2020)
Philipp Artur Kienscherf, John Collins, Carlee Joe-Wong, Wolfgang Ketter, Soumya Sen
Time-dependent electricity pricing using variable announcement horizons. Energy Inform. 3 (S1) (2020)
Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong
Towards Flexible Device Participation in Federated Learning for Non-IID Data. CoRR (2020)
Yichen Ruan, Carlee Joe-Wong
On the Economic Value of Mobile Caching. INFOCOM (2020)
Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen
Online Competitive Influence Maximization. CoRR (2020)
Yuhang Yao, Carlee Joe-Wong
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. CoRR (2020)
Susu Xu, Xinlei Chen, Xidong Pi, Carlee Joe-Wong, Pei Zhang, Hae Young Noh
iLOCuS: Incentivizing Vehicle Mobility to Optimize Sensing Distribution in Crowd Sensing. IEEE Trans. Mob. Comput. 19 (8) (2020)
Madhumitha Harishankar, Dimitrios-Georgios Akestoridis, Sriram V. Iyer, Aron Laszka, Carlee Joe-Wong, Patrick Tague
Plasma Go: A Scalable Sidechain Protocol for Flexible Payment Mechanisms in Blockchain-based Marketplaces. CoRR (2020)

Carlee Joe-Wong.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Carlee Joe-Wong