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cs.LG2024★ 1 cited
Caesar: A Low-deviation Compression Approach for Efficient Federated Learning
Jiaming Yan, Jianchun Liu, Hongli Xu +4
Compression is an efficient way to relieve the tremendous communication overhead of federated learning (FL) systems. However, for the existing works, the information loss under com…
cs.LG2024
Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learning
Jiaming Yan
Recent advancements in artificial intelligence (AI) have positioned deep learning (DL) as a pivotal technology in fields like computer vision, data mining, and natural language pro…