34 天前 - … 2023) proposed for efficient token clustering and aggregating, resulting in a great
reduction of input tokens to the Transformer network. They have seen tremendous progress in …

39 天前 - … Meanwhile, due to the non-Euclidean nature of graph data, adopting a fixed
aggregation combination method can constrain the model’s expressive capacity, and manual …

40 天前 - … detection method named pyramid dual pooling attention path aggregation network
(… (PDPAM) and a path aggregation network (PAN) that is an extension of feature pyramid …

40 天前 - … Named Data Networking (NDN) is introduced to WSN, called Information-Centric
WSN (ICWSN), so that in-network caching and aggregation … -network caching and aggregation…

42 天前 - … , the original data structure will be preserved, and the aggregation of multiple …
aggregation are presented as an example, with the addition of random noise to each aggregation. …

44 天前 - … named PODE that utilizes federated learning (FL) to train the deep neural network
to … PODE achieves an accuracy of 93.20% after the server aggregates data from all clients. …

45 天前 - … We only have access to count data aggregated from post-recursor requests across
multiple sensors that mix cache misses originating from many users and institutions. The …

47 天前 - … is distilled into the messenger model while training on local data. In the knowledge
aggregation phase, we aggregate the knowledge by combining the parameters of the mes…

49 天前 - … Inspired by the concept of the Hawkes process [50], we aim to aggregate all historical
neighbor information gathered across the past L time steps, ie, {Ms | s = 1,...,L}, in a time-…

50 天前 - … Consisting of 2 modules, dGEM-disparity first provides accurately estimated
common effects and calibrated hospital-specific effects by requiring only aggregated data from …