BiPruneFL: Computation and Communication Efficient Federated Learning With Binary Quantization and Pruning
Federated learning (FL) is a decentralized learning framework that allows a central server and multiple devices, referred to as clients, to collaboratively train a shared model without transmitting their private data to a central server. This approach helps to preserve data privacy and reduce the ri...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10909074/ |
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