112 citations · 137 across the 7 of their papers we have counts for
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cs.DC2022
Adaptive Aggregation For Federated Learning
K. R. Jayaram, Vinod Muthusamy, Gegi Thomas +2
Advances in federated learning (FL) algorithms,along with technologies like differential privacy and homomorphic encryption, have led to FL being increasingly adopted and used in m…
cs.AI2022★ 10 cited
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
Nathalie Baracaldo, Ali Anwar, Mark Purcell +8
Federated Learning (FL) is a novel paradigm for the shared training of models based on decentralized and private data. With respect to ethical guidelines, FL is promising regarding…