4 papers
Robust Decentralized Federated Distillation via Multi-Modality Knowledge Collaboration
Xiao Ma, Hong Shen, Hui Tian +2
This paper propose a robust decentralized federated distillation method that enables clients with heterogeneous models to collaborate through predictions on shared unlabeled public…
AEGIS: Attention-Embedding Gradient Isolation Shield - Triple-Channel Gradient Masking for Privacy-Preserving Federated LLM Fine-Tuning
Ye Tao, Hong Shen, Hui Tian +2
Gradient inversion attacks recover private training text from gradients shared in federated learning, posing a serious threat to collaborative model training. Through our analysis…
An O(K)-Approximation Coflow Scheduling in K-Core Optical Circuit Switching Networks
Xin Wang, Hong Shen, Hui Tian +1
Coflow has emerged as a fundamental application-layer abstraction in distributed systems, enabling collaborative management of related flows to enhance job completion efficiency. T…
Scheduling Coflows in Multi-Core OCS Networks with Performance Guarantee
Xin Wang, Hong Shen, Hui Tian +1
Coflow provides a key application-layer abstraction for capturing communication patterns, enabling the efficient coordination of parallel data flows to reduce job completion times…