3 papers
cs.LG2025
Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
Haoxiang Ye, Tao Sun, Qing Ling
Decentralized learning, which facilitates joint model training across geographically scattered agents, has gained significant attention in the field of signal and information proce…
cs.AI2025
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision
Jiahui Zhou, Dan Li, Lin Li +5
The reasoning capabilities of large language models (LLMs) have significantly advanced their performance by enabling in-depth understanding of diverse tasks. With growing interest…
cs.LG2024
Generalization Error Matters in Decentralized Learning Under Byzantine Attacks
Haoxiang Ye, Qing Ling
Recently, decentralized learning has emerged as a popular peer-to-peer signal and information processing paradigm that enables model training across geographically distributed agen…