1 citations · 1 across the 11 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
Convergence Analysis of alpha-SVRG under Strong Convexity
Sean Xiao, Sangwoo Park, Stefan Vlaski
Stochastic first-order methods for empirical risk minimization employ gradient approximations based on sampled data in lieu of exact gradients. Such constructions introduce noise i…
Decentralized Hidden Markov Modeling with Equal Exit Probabilities
Dongyan Sui, Haitian Zheng, Siyang Leng +1
Social learning strategies enable agents to infer the underlying true state of nature in a distributed manner by receiving private environmental signals and exchanging beliefs with…