Nov 10, 2022 · In particular, the proposed dynamic resource allocation and client scheduling (DRACS) algorithm can achieve a trade-off of [ \mathcal {O}(1/V) , ...

Feb 4, 2022 · Considering the model transmission over time-varying wireless channels, we propose a dynamic training client scheduling to meet stringent ...

In this paper, we propose a BFL framework consisting of multiple clients, where the roles of clients include local model training, wireless uploading, and block ...

Considering the model transmission over time-varying wireless channels, we propose a dynamic training client scheduling to meet stringent latency requirement in ...

A novel BFL framework that features the integration of training and mining at the client side and the proposed DRACS algorithm achieves better learning ...

In particular, the proposed dynamic resource allocation and client scheduling (DRACS) algorithm can achieve a trade-off of [ O (1/ V ), O (√ V )] to balance ...

However, communication resource allocation was ignored in this work. In this paper, we study a joint dynamic optimization problem of communication and ...

May 1, 2023 · In particular, the proposed dynamic resource allocation and client scheduling (DRACS) algorithm can achieve a trade-off of [ {O}(1/V) , {O}(V) ...

May 1, 2023 · Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling.

Jun 2, 2024 · Based on this transformation, we propose the dynamic resource alloca- tion and client scheduling BDFL (DRC-BDFL) algorithm via solving this ...