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Found 6 papers, 1 papers with code
Distributed Least Squares Algorithm for Continuous-time Stochastic Systems Under Cooperative Excitation Condition
In this paper, we study the distributed adaptive estimation problem of continuous-time stochastic dynamic systems over sensor networks where each agent can only communicate with its local neighbors.
Speech2Video: Cross-Modal Distillation for Speech to Video Generation
This paper investigates a novel task of talking face video generation solely from speeches.
Efficient Client Contribution Evaluation for Horizontal Federated Learning
In this paper an efficient method is proposed to evaluate the contributions of federated participants.
A Quantitative Metric for Privacy Leakage in Federated Learning
In addition, using the proposed metric, we investigate the influential factors of risk level.
Empirical Studies of Institutional Federated Learning For Natural Language Processing
It is also found that the FL models are sensitive to data load balancedness among client datasets.
FedML: A Research Library and Benchmark for Federated Machine Learning
Federated learning (FL) is a rapidly growing research field in machine learning.
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