3 papers
math.OC2026
Provably Convergent Decentralized Optimization over Directed Graphs under Generalized Smoothness
Yanan Bo, Yongqiang Wang
Decentralized optimization has become a fundamental tool for large-scale learning systems; however, most existing methods rely on the classical Lipschitz smoothness assumption, whi…
cs.CR2025
Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users
Nazatul Haque Sultan, Yan Bo, Yansong Gao +10
Federated Learning (FL) enables multiple users to collaboratively train a machine learning model without sharing raw data, making it suitable for privacy-sensitive applications. Ho…
math.OC2024
Quantization Avoids Saddle Points in Distributed Optimization
Yanan Bo, Yongqiang Wang
Distributed nonconvex optimization underpins key functionalities of numerous distributed systems, ranging from power systems, smart buildings, cooperative robots, vehicle networks…