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cs.LG2024
GAS: Generative Activation-Aided Asynchronous Split Federated Learning
Jiarong Yang, Yuan Liu
Split Federated Learning (SFL) splits and collaboratively trains a shared model between clients and server, where clients transmit activations and client-side models to server for…
cs.LG2024
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
Jiarong Yang, Yuan Liu
Split Federated Learning (SFL) is a distributed machine learning framework which strategically divides the learning process between a server and clients and collaboratively trains…