This paper studies a new task of federated learning (FL) for semantic
pa...
Coresets are small, weighted summaries of larger datasets, aiming at
pro...
For protecting users' private data, local differential privacy (LDP) has...
We consider the problem of computing the k-means centers for a large
hig...
Distributed machine learning generally aims at training a global model b...
Federated learning is an effective way of training a machine learning mo...