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A Floating-Point 6T SRAM In-Memory-Compute Macro Using Hybrid-Domain Structure for Advanced AI Edge Chips., , , , , , , , , and 7 other author(s). IEEE J. Solid State Circuits, 59 (1): 196-207 (January 2024)A Comprehensive Empirical Study of Heterogeneity in Federated Learning., , , and . IEEE Internet Things J., 10 (16): 14071-14083 (August 2023)Scaling Distributed Machine Learning with In-Network Aggregation., , , , , , , , , and . CoRR, (2019)A 22nm 832Kb Hybrid-Domain Floating-Point SRAM In-Memory-Compute Macro with 16.2-70.2TFLOPS/W for High-Accuracy AI-Edge Devices., , , , , , , , , and 7 other author(s). ISSCC, page 126-127. IEEE, (2023)RSSI-based Localization for Wireless Sensor Networks with Grid Topologies., and . ICS, volume 274 of Frontiers in Artificial Intelligence and Applications, page 1701-1709. IOS Press, (2014)The Implementation of Wireless Industrial Internet of Things (IIoT) Based Upon IEEE 802.15.4-2015 TSCH Access Mode., , , , , , and . DASC/PiCom/DataCom/CyberSciTech, page 367-369. IEEE, (2019)Empirical analysis of federated learning in heterogeneous environments., , , and . EuroMLSys@EuroSys, page 1-9. ACM, (2022)Efficient sparse collective communication and its application to accelerate distributed deep learning., , , , and . SIGCOMM, page 676-691. ACM, (2021)Scaling Distributed Machine Learning with In-Network Aggregation., , , , , , , , , and . NSDI, page 785-808. USENIX Association, (2021)An 8b-Precision 6T SRAM Computing-in-Memory Macro Using Time-Domain Incremental Accumulation for AI Edge Chips., , , , , , , , , and 10 other author(s). IEEE J. Solid State Circuits, 59 (7): 2297-2309 (July 2024)