4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.DC2025
DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization
Zhenheng Tang, Zichen Tang, Junlin Huang +7
The growth of large language models (LLMs) increases challenges of accelerating distributed training across multiple GPUs in different data centers. Moreover, concerns about data p…
cs.CV2024
3D-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
Zichen Tang, Hongyu Yang, Hanchen Zhang +2
Advancements in neural implicit representations and differentiable rendering have markedly improved the ability to learn animatable 3D avatars from sparse multi-view RGB videos. Ho…
cs.DC2024★ 4 cited
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
Zichen Tang, Junlin Huang, Rudan Yan +5
Current data compression methods, such as sparsification in Federated Averaging (FedAvg), effectively enhance the communication efficiency of Federated Learning (FL). However, thes…