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cs.LG2023
Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning
Connor Mclaughlin, Matthew Ding, Denis Edogmus +1
As the network scale increases, existing fully distributed solutions start to lag behind the real-world challenges such as (1) slow information propagation, (2) network communicati…
cs.LG2023
Fast and Robust State Estimation and Tracking via Hierarchical Learning
Connor Mclaughlin, Matthew Ding, Deniz Erdogmus +1
Fast and reliable state estimation and tracking are essential for real-time situation awareness in Cyber-Physical Systems (CPS) operating in tactical environments or complicated ci…