Zitao Li

Orcid: 0000-0001-5461-6693

According to our database1, Zitao Li authored at least 29 papers between 2018 and 2025.

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Bibliography

2025
Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation.
CoRR, June, 2025

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection.
CoRR, May, 2025

VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization.
CoRR, May, 2025

Automated Profile Inference with Language Model Agents.
CoRR, May, 2025

Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models.
CoRR, May, 2025

KIMAs: A Configurable Knowledge Integrated Multi-Agent System.
CoRR, February, 2025

Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering.
CoRR, January, 2025

On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Performance-Based Pricing of Federated Learning via Auction.
Proc. VLDB Endow., February, 2024

Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning.
CoRR, 2024

A Bargaining-based Approach for Feature Trading in Vertical Federated Learning.
CoRR, 2024

AgentScope: A Flexible yet Robust Multi-Agent Platform.
CoRR, 2024

VertiMRF: Differentially Private Vertical Federated Data Synthesis.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Improving LoRA in Privacy-preserving Federated Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Differentially Private Vertical Federated Clustering.
Proc. VLDB Endow., 2023

FS-Real: A Real-World Cross-Device Federated Learning Platform.
Proc. VLDB Endow., 2023

FS-REAL: Towards Real-World Cross-Device Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021
Federated Matrix Factorization with Privacy Guarantee.
Proc. VLDB Endow., 2021

MGD: A Utility Metric for Private Data Publication.
Proceedings of the 8th NSysS 2021: 8th International Conference on Networking, Systems and Security, Cox's Bazar, Bangladesh, December 21, 2021

Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Improving Frequency Estimation under Local Differential Privacy.
Proceedings of the WPES'20: Proceedings of the 19th Workshop on Privacy in the Electronic Society, 2020

Estimating Numerical Distributions under Local Differential Privacy.
Proceedings of the 2020 International Conference on Management of Data, 2020

Locally Differentially Private Frequency Estimation with Consistency.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

2019
Four accuracy bounds and one estimator for frequency estimation under local differential privacy.
CoRR, 2019

Consistent and Accurate Frequency Oracles under Local Differential Privacy.
CoRR, 2019

2018
Regularized Loss Minimizers with Local Data Obfuscation.
CoRR, 2018


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