5 citations · 6 across the 8 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
math.OC2026
Distributed risk-averse optimization via CVaR
Siyi Wang, Kun Huang, Lei Xu +1
Distributed systems often operate under uncertainty, where minimizing expected loss may overlook rare but severe events. This paper studies a distributed risk-averse convex optimiz…
cs.LG2026
Achieving Linear Speedup for Composite Federated Learning
Kun Huang, Shi Pu, Karl Henrik Johansson
This paper proposes FedNMap, a normal map-based method for composite federated learning, where the objective consists of a smooth loss and a possibly nonsmooth regularizer. FedNMap…