26 citations · 55 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 14 cited
AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
Qiyuan Wang, Qianqian Yang, Shibo He +2
In an asynchronous federated learning framework, the server updates the global model once it receives an update from a client instead of waiting for all the updates to arrive as in…
cs.CR2022★ 15 cited
VeriFi: Towards Verifiable Federated Unlearning
Xiangshan Gao, Xingjun Ma, Jingyi Wang +5
Federated learning (FL) is a collaborative learning paradigm where participants jointly train a powerful model without sharing their private data. One desirable property for FL is…
eess.SP2022★ 26 cited
Global and Asymptotically Efficient Localization from Range Measurements
Guangyang Zeng, Biqiang Mu, Jiming Chen +2
We consider the range-based localization problem, which involves estimating an object's position by using sensors, hoping that as the number of sensors increases, the estim…