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cs.LG2025
Revisiting Multi-Agent Asynchronous Online Optimization with Delays: the Strongly Convex Case
Lingchan Bao, Tong Wei, Yuanyu Wan
We revisit multi-agent asynchronous online optimization with delays, where only one of the agents becomes active for making the decision at each round, and the corresponding feedba…
cs.LG2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou +3
Long-tailed semi-supervised learning poses a significant challenge in training models with limited labeled data exhibiting a long-tailed label distribution. Current state-of-the-ar…