3 citations · 8 across the 17 of their papers we have counts for
7 papers · 1 filter
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…