Summary of Hierarchical Federated Learning with Multi-timescale Gradient Correction, by Wenzhi Fang et al.
Hierarchical Federated Learning with Multi-Timescale Gradient Correctionby Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang,…
Hierarchical Federated Learning with Multi-Timescale Gradient Correctionby Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang,…
Review of Digital Asset Development with Graph Neural Network Unlearningby Zara LisbonFirst submitted to arxiv…
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integrationby Mahdi Morafah, Vyacheslav Kungurtsev,…
Latent Representation Learning for Multimodal Brain Activity Translationby Arman Afrasiyabi, Dhananjay Bhaskar, Erica L. Busch,…
A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioningby Swadhin Das, Raksha SharmaFirst submitted…
Fairness without Sensitive Attributes via Knowledge Sharingby Hongliang Ni, Lei Han, Tong Chen, Shazia Sadiq,…
URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Baseby Aditya Khan,…
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patternsby Shengsheng Lin, Weiwei Lin, Xinyi Hu,…
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecastingby Shuowei Cai, Hao LiuFirst submitted…
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognitionby Wen Ge, Guanyi Mou,…