8 citations · 24 across the 5 of their papers we have counts for
5 papers
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting
Chu Myaet Thwal, Ye Lin Tun, Kitae Kim +2
Recent innovations in transformers have shown their superior performance in natural language processing (NLP) and computer vision (CV). The ability to capture long-range dependenci…
Prototype Helps Federated Learning: Towards Faster Convergence
Yu Qiao, Seong-Bae Park, Sun Moo Kang +1
Federated learning (FL) is a distributed machine learning technique in which multiple clients cooperate to train a shared model without exchanging their raw data. However, heteroge…
Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network
Md. Shirajum Munir, Ki Tae Kim, Apurba Adhikary +4
Explainable artificial intelligence (XAI) twin systems will be a fundamental enabler of zero-touch network and service management (ZSM) for sixth-generation (6G) wireless networks.…
Federated Learning with Intermediate Representation Regularization
Ye Lin Tun, Chu Myaet Thwal, Yu Min Park +2
In contrast to centralized model training that involves data collection, federated learning (FL) enables remote clients to collaboratively train a model without exposing their priv…
An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery
Md. Shirajum Munir, Seong-Bae Park, Choong Seon Hong
One of the core envisions of the sixth-generation (6G) wireless networks is to accumulate artificial intelligence (AI) for autonomous controlling of the Internet of Everything (IoE…