Delayed gradient averaging: Tolerate the communication latency for federated learning
Federated Learning is an emerging direction in distributed machine learning that en-ables
jointly training a model without sharing the data. Since the data is distributed across many …
jointly training a model without sharing the data. Since the data is distributed across many …
[PDF][PDF] Delayed Gradient Averaging: Tolerate the Communication Latency in Federated Learning
L Zhu, H Lin, Y Lu, Y Lin, S Han - dga.hanlab.ai
Federated Learning is an emerging direction in distributed machine learning that enables
jointly training a model without sharing the data. Since the data is distributed across many …
jointly training a model without sharing the data. Since the data is distributed across many …
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
L Zhu, H Lin, Y Lu, Y Lin, S Han - Advances in Neural …, 2021 - proceedings.neurips.cc
Federated Learning is an emerging direction in distributed machine learning that en-ables
jointly training a model without sharing the data. Since the data is distributed across many …
jointly training a model without sharing the data. Since the data is distributed across many …
[PDF][PDF] Delayed Gradient Averaging: Tolerate the Communication Latency in Federated Learning
L Zhu, H Lin, Y Lu, Y Lin, S Han - scholar.archive.org
Federated Learning is an emerging direction in distributed machine learning that enables
jointly training a model without sharing the data. Since the data is distributed across many …
jointly training a model without sharing the data. Since the data is distributed across many …
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
L Zhu, H Lin, Y Lu, Y Lin, S Han - Advances in Neural Information …, 2021 - openreview.net
Federated Learning is an emerging direction in distributed machine learning that en-ables
jointly training a model without sharing the data. Since the data is distributed across many …
jointly training a model without sharing the data. Since the data is distributed across many …
[PDF][PDF] Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
L Zhu - dga.hanlab.ai
Ligeng Zhu, Hongzhou Lin, , Yujun Lin, Song Han Massachusetts Institute of Technology,
Yao Lu Google Page 1 1 Delayed Gradient Averaging: Tolerate the Communication …
Yao Lu Google Page 1 1 Delayed Gradient Averaging: Tolerate the Communication …
[PDF][PDF] Delayed Gradient Averaging: Tolerate the Communication Latency in Federated Learning
L Zhu, H Lin, Y Lu, Y Lin, S Han - openreview.net
Federated Learning is an emerging direction in distributed machine learning that enables
jointly training a model without sharing the data. Since the data is distributed across many …
jointly training a model without sharing the data. Since the data is distributed across many …