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F2MKD: Fog-enabled Federated Learning with Mutual ...
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由 Y Yamasaki 著作2023被引用 2 次 — We propose a novel FL framework called fog-enabled federated learning with mutual knowledge distillation (F2MKD), in which the server and each client are ...
F2MKD: Fog-enabled Federated Learning with Mutual ...
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由 Y Yamasaki 著作2023被引用 2 次 — Consequently, all clients can obtain a customized model because each fog server performs mutual knowledge distillation by utilizing the collected data.
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F2MKD: Fog-enabled Federated Learning with Mutual ...
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A novel FL framework called fog-enabled federated learning with mutual knowledge distillation (F2MKD), in which the server and each client are ascribed to ...
F2MKD: Fog-enabled Federated Learning with Mutual ...
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This paper presents the results of an experiment on mutual versus common knowledge of advice in a two-player weak-link game with random matching. Our ...
F2MKD: Fog-enabled Federated Learning with Mutual Knowledge ...
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F2MKD: Fog-enabled Federated Learning with Mutual Knowledge Distillation. DOI · Yusuke Yamasaki · Hideki Takase. 収録刊行物.
Decentralized Federated Learning Via Mutual Knowledge ...
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Discover more about: Distillation. Conference Paper. F2MKD: Fog-enabled Federated Learning with Mutual Knowledge Distillation. January 2023. Yusuke Yamasaki ...
Federated Learning Research Topics for PhD & MS students
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F2MKD: Fog-enabled Federated Learning with Mutual Knowledge Distillation; Malicious Models-based Federated Learning in Fog Computing Networks; On Demand Fog ...
Federated Learning Research Topics and Ideas
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F2MKD: Fog-enabled Federated Learning with Mutual Knowledge Distillation; SGFL: A Federated Learning Approach for Non-IID Data Using Semi-Supervised DCGAN ...
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[PDF] FedFog: Network-Aware Optimization of Federated ...
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A novel FL framework called fog-enabled federated learning with mutual knowledge distillation (F2MKD), in which the server and each client are ascribed to ...
FedLinked: A client-wise distilled representation based semi- ...
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2022, International Conference on Machine Learning. F2MKD: Fog-enabled Federated Learning with Mutual Knowledge Distillation. Yusuke Yamasaki, Hideki Takase.
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