3 citations · 8 across the 17 of their papers we have counts for
17 papers
Data-Free Continual Learning of Server Models in Model-Heterogeneous Cloud-Device Collaboration
Xiao Zhang, Zengzhe Chen, Yuan Yuan +5
The rise of cloud-device collaborative computing has enabled intelligent services to be delivered across distributed edge devices while leveraging centralized cloud resources. In t…
PE-MA: Parameter-Efficient Co-Evolution of Multi-Agent Systems
Yingfan Deng, Anhao Zhou, Yuan Yuan +3
Multi-Agent Systems have recently emerged as a promising paradigm for collaborative reasoning and solving complex tasks. However, the design of collaborative learning algorithms in…
Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate
Senmao Qi, Yifei Zou, Peng Li +3
Multi-Agent Debate (MAD), leveraging collaborative interactions among Large Language Models (LLMs), aim to enhance reasoning capabilities in complex tasks. However, the security im…
Partially Synchronous BFT Consensus Made Practical in Wireless Networks
Shuo Liu, Minghui Xu, Yuezhou Zheng +4
Consensus is becoming increasingly important in wireless networks. Partially synchronous BFT consensus, a significant branch of consensus, has made considerable progress in wired n…
Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients
Yan Li, Xiao Zhang, Mingyi Li +7
In this work, we study to release the potential of massive heterogeneous weak computing power to collaboratively train large-scale models on dispersed datasets. In order to improve…
Federating to Grow Transformers with Constrained Resources without Model Sharing
Shikun Shen, Yifei Zou, Yuan Yuan +4
The high resource consumption of large-scale models discourages resource-constrained users from developing their customized transformers. To this end, this paper considers a federa…
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments
Ruirui Zhang, Xingze Wu, Yifei Zou +4
The paper studies a fundamental federated learning (FL) problem involving multiple clients with heterogeneous constrained resources. Compared with the numerous training parameters,…
Leveraging Unknown Objects to Construct Labeled-Unlabeled Meta-Relationships for Zero-Shot Object Navigation
Yanwei Zheng, Changrui Li, Chuanlin Lan +5
Zero-shot object navigation (ZSON) addresses situation where an agent navigates to an unseen object that does not present in the training set. Previous works mainly train agent usi…
Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee
Mengtong Gao, Yifei Zou, Zuyuan Zhang +2
The safety of decentralized reinforcement learning (RL) is a challenging problem since malicious agents can share their poisoned policies with benign agents. The paper investigates…
Temporal-Spatial Object Relations Modeling for Vision-and-Language Navigation
Bowen Huang, Yanwei Zheng, Chuanlin Lan +3
Vision-and-Language Navigation (VLN) is a challenging task where an agent is required to navigate to a natural language described location via vision observations. The navigation a…
ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Huiqun Li, Hanhan Zhou, Yifei Zou +2
Value function factorization has achieved great success in multi-agent reinforcement learning by optimizing joint action-value functions through the maximization of factorized per-…
Decentralized Wireless Federated Learning with Differential Privacy
Shuzhen Chen, Dongxiao Yu, Yifei Zou +2
This paper studies decentralized federated learning algorithms in wireless IoT networks. The traditional parameter server architecture for federated learning faces some problems su…
BLOWN: A Blockchain Protocol for Single-Hop Wireless Networks under Adversarial SINR
Minghui Xu, Feng Zhao, Yifei Zou +3
Known as a distributed ledger technology (DLT), blockchain has attracted much attention due to its properties such as decentralization, security, immutability and transparency, and…
wChain: A Fast Fault-Tolerant Blockchain Protocol for Multihop Wireless Networks
Minghui Xu, Chunchi Liu, Yifei Zou +3
This paper presents , a blockchain protocol specifically designed for multihop wireless networks that deeply integrates wireless communication properties and block…
Too Much Information Kills Information: A Clustering Perspective
Yicheng Xu, Vincent Chau, Chenchen Wu +3
Clustering is one of the most fundamental tools in the artificial intelligence area, particularly in the pattern recognition and learning theory. In this paper, we propose a simple…
Online Joint Placement and Allocation of Virtual Network Functions with Heterogeneous Servers
Yicheng Xu, Vincent Chau, Chenchen Wu +2
Network Function Virtualization (NFV) is a promising virtualization technology that has the potential to significantly reduce the expenses and improve the service agility. NFV make…
A constant FPT approximation algorithm for hard-capacitated k-means
Yicheng Xu, Rolf H. Möhring, Dachuan Xu +2
Hard-capacitated -means (HCKM) is one of the fundamental problems remaining open in combinatorial optimization and data mining areas. In this problem, one is required to partiti…