Joe-Wong, Carlee

28 publications

TMLR 2026 The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why - A Survey from MARL to Emergent Language and LLMs Jingdi Chen, Hanqing Yang, Zongjun Liu, Carlee Joe-Wong

AISTATS 2025 FedBaF: Federated Learning Aggregation Biased by a Foundation Model Jong-Ik Park, Srinivasa Pranav, Jose M F Moura, Carlee Joe-Wong

UAI 2025 FedSPD: A Soft-Clustering Approach for Personalized Decentralized Federated Learning I-Cheng Lin, Osman Yagan, Carlee Joe-Wong

AISTATS 2025 Federated Communication-Efficient Multi-Objective Optimization Baris Askin, Pranay Sharma, Gauri Joshi, Carlee Joe-Wong

AAAI 2025 Neural Combinatorial Clustered Bandits for Recommendation Systems Baran Atalar, Carlee Joe-Wong

ICML 2025 Offline Learning for Combinatorial Multi-Armed Bandits Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

ICLR 2025 Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy Ishank Juneja, Carlee Joe-Wong, Osman Yagan

ICLRW 2025 TINY: Rethinking Selection Bias in LLMs: Quantification and Mitigation Using Efficient Majority Voting Blessed Guda, Lawrence Francis, Gabrial Zencha Ashungafac, Carlee Joe-Wong, Moise Busogi

NeurIPS 2024 Efficient Contextual LLM Cascades Through Budget-Constrained Policy Learning Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen

NeurIPS 2024 Efficient Federated Learning Against Heterogeneous and Non-Stationary Client Unavailability Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su

UAI 2024 FedAST: Federated Asynchronous Simultaneous Training Baris Askin, Pranay Sharma, Carlee Joe-Wong, Gauri Joshi

ECML-PKDD 2024 Federated Learning with Flexible Architectures Jong-Ik Park, Carlee Joe-Wong

AAAI 2024 RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning Jingdi Chen, Tian Lan, Carlee Joe-Wong

NeurIPS 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina Adam, Nathaniel D. Bastian, Tian Lan

NeurIPSW 2023 Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning Taejin Kim, Jiarui Li, Nikhil Madaan, Shubhranshu Singh, Carlee Joe-Wong

AISTATS 2023 Characterizing Internal Evasion Attacks in Federated Learning Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong

NeurIPS 2023 FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks Yuhang Yao, Weizhao Jin, Srivatsan Ravi, Carlee Joe-Wong

NeurIPSW 2023 FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System Weizhao Jin, Yuhang Yao, Shanshan Han, Carlee Joe-Wong, Srivatsan Ravi, Salman Avestimehr, Chaoyang He

NeurIPS 2023 Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo

AISTATS 2022 Can We Generalize and Distribute Private Representation Learning? Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher Brinton

AISTATS 2022 Online Competitive Influence Maximization Jinhang Zuo, Xutong Liu, Carlee Joe-Wong, John C. S. Lui, Wei Chen

NeurIPS 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen

NeurIPSW 2022 FedRule: Federated Rule Recommendation System with Graph Neural Networks Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu

AAAI 2022 FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan, Carlee Joe-Wong

AISTATS 2021 Towards Flexible Device Participation in Federated Learning Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong

NeurIPSW 2021 A Generalized and Distributable Generative Model for Private Representation Learning Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher Brinton

AAAI 2021 Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks Yuhang Yao, Carlee Joe-Wong

AAAI 2020 Observe Before Play: Multi-Armed Bandit with Pre-Observations Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong