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20232026
most citedJoint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks

1 citations · 1 across the 9 of their papers we have counts for

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eess.SY2025★ 1 cited

Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4

Distributed edge learning (DL) is considered a cornerstone of intelligence enablers, since it allows for collaborative training without the necessity for local clients to share raw…

eess.SY2025

Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks

Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi +4

Distributed learning (DL) is considered a cornerstone of intelligence enabler, since it allows for collaborative training without the necessity for local clients to share raw data…