2 papers
cs.GT2023
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
Bing Luo, Yutong Feng, Shiqiang Wang +2
Incentive mechanism is crucial for federated learning (FL) when rational clients do not have the same interests in the global model as the server. However, due to system heterogene…
cs.LG2021
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
Bing Luo, Wenli Xiao, Shiqiang Wang +2
Federated learning (FL) algorithms usually sample a fraction of clients in each round (partial participation) when the number of participants is large and the server's communicatio…