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FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework.

, , , , , , , and . IEEE Trans. Parallel Distributed Syst., 34 (3): 1007-1019 (March 2023)

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RadarSSD: A Computational Storage for Radar Signal Processing., , , , , and . ICPP, page 244-253. ACM, (2023)On the Design of Minimal-Cost Pipeline Systems Satisfying Hard/Soft Real-Time Constraints., , , , , and . IEEE Trans. Emerg. Top. Comput., 9 (1): 24-34 (2021)连接操作在SIMFS和EXT4上的性能比较 (Performance Comparison of Join Operations on SIMFS and EXT4)., , and . 计算机科学, 43 (6): 184-187 (2016)CacheSifter: Sifting Cache Files for Boosted Mobile Performance and Lifetime., , , , , , , , and . FAST, page 445-459. USENIX Association, (2022)Federated learning with workload-aware client scheduling in heterogeneous systems., , , , , , , and . Neural Networks, (2022)On the Design of Reliable Heterogeneous Systems via Checkpoint Placement and Core Assignment., , , , , and . ACM Great Lakes Symposium on VLSI, page 475-478. ACM, (2018)Power-Aware Virtual Machine Placement for Mobile Edge Computing., , , and . iThings/GreenCom/CPSCom/SmartData, page 595-600. IEEE, (2019)Performance Optimization for In-Memory File Systems on NUMA Machines., , , , and . PDCAT, page 7-12. IEEE Computer Society, (2016)Prevent Deadlock and Remove Blocking for Self-Timed Systems., , , , and . ICA3PP (1), volume 9528 of Lecture Notes in Computer Science, page 155-169. Springer, (2015)Optimal Functional Assignment and Communication Selection under Timing Constraint for Self-Timed Pipelines., , , , and . ICESS, page 87-92. IEEE Computer Society, (2016)