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FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning.

, , , , , and . IEEE Internet Things J., 9 (21): 20889-20901 (2022)

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A Case For Adaptive Deep Neural Networks in Edge Computing., , , , , and . CoRR, (2020)Design patterns percolating to parallel programming framework implementation., , , , and . Int. J. Parallel Program., 42 (6): 1012-1031 (2014)Cost-Directed Refactoring for Parallel Erlang Programs., , , , and . Int. J. Parallel Program., 42 (4): 564-582 (2014)DNNShifter: An efficient DNN pruning system for edge computing., , , , and . Future Gener. Comput. Syst., (March 2024)Communication Efficient DNN Partitioning-based Federated Learning., , , , , and . CoRR, (2023)DNNShifter: An Efficient DNN Pruning System for Edge Computing., , , , and . CoRR, (2023)An Abstract Annotation Model for Skeletons., , , , and . FMCO, volume 7542 of Lecture Notes in Computer Science, page 257-276. Springer, (2011)Skeletons for multi/many-core systems., , and . PARCO, volume 19 of Advances in Parallel Computing, page 265-272. IOS Press, (2009)Accelerating Code on Multi-cores with FastFlow., , , , and . Euro-Par (2), volume 6853 of Lecture Notes in Computer Science, page 170-181. Springer, (2011)Co-design of Distributed Systems Using Skeleton and Autonomic Management Abstractions., , and . Euro-Par Workshops, volume 5415 of Lecture Notes in Computer Science, page 403-414. Springer, (2008)