A Flexible Model Compression and Resource Allocation Scheme for Federated Learning
Communication overhead has become one of the major constraints on the application of federated learning (FL). To reduce the overhead by trading off between the number of communication rounds and per-round latency, significant research efforts have been devoted to investigating joint optimization of...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Transactions on Machine Learning in Communications and Networking |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10210504/ |
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