9 papers
Alpha-Beta HMM: Interpretable Low-Parameter Hidden Markov Filtering in Dynamic Environments
Dongyan Sui, Haotian Pu, Yulin Shao +2
Practical online inference in dynamic environments requires a lightweight filtering mechanism that remains adaptive to state changes while retaining reliable information from past…
Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
Xue Xian Zheng, Weihang Liu, Xin Lou +2
This paper introduces an innovative error feedback framework designed to mitigate quantization noise in distributed graph filtering, where communications are constrained to quantiz…
Topology-Independent Robustness of the Weighted Mean under Label Poisoning Attacks in Heterogeneous Decentralized Learning
Jie Peng, Weiyu Li, Stefan Vlaski +1
Robustness to malicious attacks is crucial for practical decentralized signal processing and machine learning systems. A typical example of such attacks is label poisoning, meaning…
Decentralized AI Service Placement, Selection and Routing in Mobile Networks
Jinkun Zhang, Stefan Vlaski, Kin Leung
The rapid development and usage of large-scale AI models by mobile users will dominate the traffic load in future communication networks. The advent of AI technology also facilitat…
Multitask Learning with Learned Task Relationships
Zirui Wan, Stefan Vlaski
Classical consensus-based strategies for federated and decentralized learning are statistically suboptimal in the presence of heterogeneous local data or task distributions. As a r…
Scalable Min-Max Optimization via Primal-Dual Exact Pareto Optimization
Sangwoo Park, Stefan Vlaski, Lajos Hanzo
In multi-objective optimization, minimizing the worst objective can be preferable to minimizing the average objective, as this ensures improved fairness across objectives. Due to t…