ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.01049
  4. Cited By
On the Energy and Communication Efficiency Tradeoffs in Federated and
  Multi-Task Learning

On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning

2 December 2022
S. Savazzi
V. Rampa
Sanaz Kianoush
M. Bennis
ArXivPDFHTML

Papers citing "On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning"

2 / 2 papers shown
Title
Opportunities of Federated Learning in Connected, Cooperative and
  Automated Industrial Systems
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
S. Savazzi
M. Nicoli
M. Bennis
Sanaz Kianoush
Luca Barbieri
FedML
AIFin
AI4CE
40
125
0
09 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
332
11,684
0
09 Mar 2017
1