6 papers
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…
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…